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Adamo JM, 1980a. “L.P. L. A fuzzy programming language: 1 Syntactic Aspects”. Fuzzy Sets and Systems3151–179.

Adamo JM, 1980b. “L.P.L. A fuzzy programming language: 2. Semantic Aspects” Fuzzy Sets and Systems3261–289.

Aliev RA, Oulanov GM and Tserkovnyi AE, 1986. “Decision making in intelligent robots”. Soviet Physics Doklady31 (10) 780–782.

Amano A and Aritsuka T, 1989. “On the use of neural networks and fuzzy logic in speech recognition”. In: Proc. hit. Joint Conf. on Neural NetworksWashington, DC, pp. 301–305.

Bardossy A, 1990. “Note on fuzzy regression”. Fuzzy Sets and Systems3765–75.

Bartolini G, Casolino G, Daoli F and Mortem M, 1985. “Development of performance adaptive fuzzy controllers with application to continuous casting plans”. In: IndustrialApplications of Fuzzy Control (Sugeno M., ed.). North-Holland, pp. 73–86.

Bellman R and Giertz M, 1973. “On the analytic formalism of the theory of fuzzy sets”. Information Science5149–156.

Berenji HR, 1992. “Fuzzy and neural control”. In: An introduction to intelligent and Autonomous Control (Antsaklis P. and Passino K., eds.). Kluwer.

Bertsekas DP, 1971. “Control of uncertain systems with a set-membership description of the uncertainty”. MIT Electr. Syst. Lab. Rept ESL-R-447, Cambridge, MA.

Black M, 1963. “Reasoning with loose concepts”. Dialogue21–12.

Bounas A, 1993. “Criteria for fuzzy reasoning through relations for conditional propositions”. The Journal of Fuzzy Mathematics1 (3) 587–591.

Bounas A and King RE, 1994. “Criteria for value approximations of fuzzy systems”. Tech. Report, NRC “Demokritos”, Aghia Paraskevi, Attiki, Greece.

Bounds DG, Lloyd PJ and Mathew BG, 1990. “A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders”. Neural Networks3583–591.

Brace M and Rutherford DA, 1979. “Theoretical and linguistic aspects of the fuzzy logic controller”. Automatica15553–577.

Brown M, Fraser R, Harris CJ and Moore CG, 1991. “Intelligent self-organizing control for autonomous guided vehicle: comparative aspects of fuzzy logic and neural nets”. In: '91 lEE international Conference on Control, pp. 134–139.

Buckley JJ and Siler W, 1987. “Managing uncertainty in a fuzzy expert system. Part I: Combining uncertainties”.Preprints: 2nd IFSA Congress, pp. 737–739.

Cassinis R, Biorli E, Meregalli A and Scalise F, 1988. “Behavioral model architecture: a new way of doing real-time planning in intelligent robots”. International Society for Optical Engineering852275–280.

Celmins A, 1987. “Least squares model fitting to fuzzy linear data”. Fuzzy Sets and Systems22245–269.

Chang SSL and Zadeh LA, 1972. “On fuzzy mapping and control”. IEEE Trans. Sys. Man Cybern230–34.

Cohen ME and Hudson DL, 1992. “Approaches to the handling of fuzzy input data in neural networks”. In: Proc. 1st IEEE Conf. on Fuzzy SystemsSan Diego, CA. pp. 93–100.

Deepak S, Repko MC, Mood NC and Kelley RB, 1989. “A fuzzy approach to the interpretation of robot assembly forces”. International Society for Optical Engineering1002426–433.

De Silva CW and McFarlane AG, 1989. “Knowledge-based control approach for robotic manipulators”. International Journal of Control50 (1) 249–273.

Deyong R, Poison J, Moore R, Weng C and Lara J, 1992. “Fuzzy and adaptive control simulation for a walking machine”. IEEE Control Systems Magazine12 (3) 43–50.

Di Nola A, Pedrycz W and Sessa S, 1985. “On measures of fuzziness of solutions of fuzzy relation equations with generalized connectives”. J. Math. Anal. and Appl106443–453.

Diamond P, 1990. “Higher-level fuzzy numbers arising from fuzzy regression models”. Fuzzy Sets and Systems36265–275.

Dodds DR, 1988a. “Fractals, fuzzy sets and image representation”. International Society for Optical Engineering100187–94.

Dodds DR, 1988b. “Fuzziness in knowledge-based robotic systems”. Fuzzy Sets and Systems26 (2) 179–193.

Dote Y, Suyitno A and Strefezza M, 1990. “Fuzzy learning grasping force controller for manipulator hand”.In: Proc. IECON '90: 16th Annual Conference of IEEE industrial Electronics Society, pp. 1259–1265.

Dubois D and Pradé H, 1978. “Operations on fuzzy numbers”. Int. J. Systems Sci9 (6) 613–626.

Fukami S, Mizumoto M and Tanaka K, 1980. “Some considerations of fuzzy conditional inference”. Fuzzy Sets and Systems4243–273.

Fukuda T, Fujiyoshi T, Arai F and Matsuura H, 1991. “Design and dextrous control of micromanipulator with 6 dof”. In: Proc. IEEE international Conference on Robotics and Automation, pp. 1628–1633.

Gain B, 1983. “Precise past–fuzzy future”. Int. J. Man-Machine Studies19117–134.

Garcia-Cerczo A, Barreiro A and Ollero A, 1991. “Design of robust intelligent control of manipulators”. In: Proc. IEEE International Conference on Systems Engineering, pp. 225–228.

Gasos J, Garcia-Allegre MC and Garcia Rosa R, 1990. “Fuzzy local navigation of a simulated real robot in unknown environment”. In: Proc. IEEE International Workshop on Intelligent Motion Control, pp. 445–449.

Gorcz R and De Neyer M, 1994. “Fuzzy control of robotic manipulators and mechanical systems. In: Fuzzy Reasoning in Information and Control Systems (Tzafestas SG and Venetsanopoulos AN, eds.). Kluwer, pp. 451–491.

Gupta MM, 1991. “Theory of T-norms and fuzzy inference methods”. Fuzzy Sets and Systems40431–450.

Hai Quan Dai, Dalton GR and Tulenko J, 1992. “Fuzzy control system for a mobile robot”. Trans. of American Nuclear Society65464–465.

Han-Gyoo KA, 1991. “A new interpretation of force&servo control of robot arms”. In: Proc IROS '91 International Workshop on Intelligent Robots and Systems, pp. 1623–1627.

Harris CJ and Brown M, 1991. “Intelligent control for autonomous guided vehicles”. Proc. IEEE Colloquium on Intelligent Control31–4.

Higashi M, Di Nola A, Pedrycz W and Sessa S, 1984. “Ordering fuzzy sets by consensus concept and fuzzy relation equations”. Int. J. General Syst.1047–56.

Hirota K, 1979. “Extended fuzzy expressions of probabilistic sets”. In: Advances in Fuzzy Set Theory and Applications (Gupta MM, Ragade RK and Yager RR, eds.). North Holland, pp. 201–214.

Hirota K, 1981. “Concepts of probabilistic sets”. Fuzzy Sets and Systems531–46.

Hirota K, Arai Y and Hachisu S, 1986. “Moving mark recognition and moving object manipulation in fuzzy controlled robot”. Control-Theory and Advanced Technology2399–418.

Hirota K, Arai Y and Hachisu S, 1989. “Fuzzy control robot arm playing two-dimensional ping-pong game”. Fuzzy Sets and Systems32 (2) 149–159.

Holt AW and Commoner F, 1970. “Events and conditions”. New York: Applied Data Research. (Also in Rec. Project MAC Conf. Concurrent Systems and Parallel ComputationNew York, ACM, pp. 1–72.)

lschibuchi H, Okada H and Tanaka H, 1992. “Interpolation of fuzzy If-Then rules by neural networks”. In: Proc. 2nd Int. Conf. on Fuzzy Logic and Neural Networks lizuka, Japan, pp. 337–340.

lshii K, and Misra S, 1990. “Uncertainty management in intelligent task planning of mobile robots”. lnternational Journal of Computer Integrated Manufacturing3 (1) 13–23.

Ishikawa S, 1991. “A method of indoor mobile robot navigation by using fuzzy control”. In: Proc. IROS '91 International Workshop on Intelligent Robots and Systems, pp. 1013–1018.

Isik C, 1988. “Inference engines for fuzzy rule-based control”. International Journal of Approximate Reasoning2 (2) 178–188.

Isik C and Meystel AM, 1988. “Pilot level of a hierarchical controller for an unmanned mobile robot”. IEEE Journal of Robotics and Automation4 (3) 241–255.

Jajuga K, 1986. “Linear fuzzy regression”. Fuzzy Sets and Systems20343–353.

Janko WH, Roubens M and Zimmermann H, 1990. “Progress in Fuzzy Sets and Systems”. Kiuwer.

Jensen JH, 1979. “Fuzzy logic control of industrial process”. PhD Thesis, Electr. Power Eng. Dept., Tech. Univ. of Denmark.

Joszef S. 1992. “On the effect of linear data transformations in possibilistic fuzzy linear regression”. Fuzzy Sets and Systems45185–188.

Kalley GS and McDermott KJ, 1989. “Using expert systems to incorporate the principles of motion economy as a means of improving robot manipulator path generation”. Computers and Industrial Engineering16 (32) 207–213.

Kang H and Vachtsevanos G, 1990. “An intelligent strategy to robot coordination and control”. In: Proc. CDC '90: 29th IEEE Conference on Decision and Control pp. 2208–2213.

Kawarnura H, Tani A, Yakamoto K and Yamada M, 1990. “Constitution of intelligent fuzzy network by frame knowledge representation”. In: Proc. mt. Conf. on Fuzzy Logic and Neural Networks lizuka, Japan, pp. 261–265.

Kawamura H, Tani A, Kambara H and Yamada M, 1991. “Intelligent fuzzy network for optimum structural planning and design”. In: Proc. 7th Fuzzy Systems Symp. Nagoya, Japan, pp. 99–102.

Kawamura H, Tani A and Kambara H, 1992. “A seismic structural planning system for fuzzy network”. In: Proc. 10th World Conf. on Earthquake EngineeringMadrid, Spain, pp. 6271–6275.

Keller JM, Yager RR and Tahani H, 1992. “Neural network implementation of fuzzy logic”. Fuzzy Sets and Systems451–12.

Keller JM and Tahani H, 1992. “Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks”. Int. J. Approximnate Reasoning6221–240.

Kemal C, 1989. “Fuzzy rule-based motion controller for an autonomous mobile robot”. Robotica7 (1) 37–42.

Kickert W and Van Nauta Lemke HR, 1976. “The application of fuzzy set theory to controller in warm water plant”. Automnatica12301–308.

Kickert WJM and Mamdani EH, 1978. “Analysis of a fuzzy logic controller”. Fuzzy Sets and Systems129–44.

Kickert WJM, 1978. “Fuzzy Theories on Decision Making”. Martinus Nijhoff.

King RE, 1986. “Expert systems in the cement industry”. Zement Kalk. Gips, 39 (3).

King PJ and Mamdani EH, 1977. “The application of fuzzy control systems to industrial processes”. In: Proc 6th IFAC World Congress (Boston 1975). Automatica13235–242.

King RE and Karonis FC, 1986. “Rule-based systems in the process industry”. In: Proc. 25th IEEE CDCAthens.

Klir GJ and Folger TA, 1988. Fuzzy Sets, Uncertainty and Information. Prentice Hall.

Koh KC, Cho AHS, Kim SK and Jeong Is, 1990. “Application of self-organizing fuzzy control to the joint control of a Puma 760 robot”. In: Proc. IROS '91 International Workshop on Intelligent Robots and Systems pp. 537–542.

Kosko B, 1991. Neural Networks and Fuzzy Systems: A dynamical system approach to maclime intelligence. Prentice Hall.

Kubota TK and Hashimoto H, 1990. “A strategy for collision avoidance among moving obstacles for a mobile robot”. In: Proc. 11th IFAC World Congress on Automatic Control in the Service of Mankind, pp. 105–110.

Kuncicky DC and Kandel A, 1989. “A fuzzy interpretation of neural networks”. In: Proc. 3rd Int. Fuzzy Systems Association CongressSeattle, WA, pp. 113–116.

Kwok DP, Tam P, Li CK and Wang P, 1990. “Linguistic PID controllers”. In: Proc. 11th IFAC World Congress on Automatic Control in the Service of MankindTallin, Estonia, pp. 192–197.

Lakov D, 1985. “Adaptive robot under fuzzy control”. Fuzzy Sets and Systems17 (1) 1–8.

Larsen PM, 1980. “Industrial applications of fuzzy logic control”. Int. J. Man-Machine Studies123–10.

Lee CC, 1990. “Fuzzy logic in control systems: fuzzy logic controller (Part I)”. IEEE Trans. Syst. Man Cybern. 20 (2).

Leung KS and Lam W, 1988. “Fuzzy concepts in expert systems”. Computer Magazine IEEE21 (9) 43–58.

Li Y, 1986. “The automatic recognition of mechanical parts on membership's principles of fuzzy sets”. International Society for Optical Engineering697175–180.

Li YF and Lau CC, 1989. “Development of fuzzy algorithms for servo systems”. IEEE Control Systems Magazine9 (3) 65–71.

Lim CM and Hiyama TI, 1991. “Application of fuzzy logic control to manipulator”. IEEE Trans. on Robotics and Automation7 (5) 688–691.

Lin CE and Sheu YR, 1992. “A hybrid control-approach for pendulum-car control”. IEEE Trans. on Industrial Electronics39 (3) 208–214.

Looney CG, 1994. “Fuzzy Petri nets and applications”. In: Fuzzy Reasoning in Information, Decision and Control Systems (Tzafestas SG and Venetsanopoulos AN, eds.). Kluwer, pp. 511–527.

Looney CG, 1988a. “Expert control design with fuzzy rule matrices”. Int. J. Expert Systems1 (2) 159–165.

Looney CG, 1988b. “Fuzzy Petri nets for rule based decision making”. IEEE Trans. Syst. Man and Cybern. 18 (1) 178–183.

MacVicar-Whelan PJ, 1975. “Fuzzy sets, the concept of height and hedge”. Tech. Memorandum 1, Physics Department, Grand Valley State Colleges, Allendale, MI.

MacVicar-Whelan PJ, 1976. “Fuzzy sets for man-machine interaction”. Int. J. Man-Machine Studies8687–697.

Mamdani EH and Assilian S, 1974. “An experiment in linguistic synthesis with a fuzzy logic controller”. Int. J. Man-Machine Studies71–13.

Mamdani EH and Assilian S, 1975. “A fuzzy logic controller for a dynamic plant”. Int. J. Man-Machine Studies71–13.

Mamdani EH, 1976.. “Advances in the linguistic synthesis of fuzzy controllers”. Int. I. Man-Machine Studies8669–678.

Mamdani EH, 1977. “Application of fuzzy logic to approximate reasoning using linguistic synthesis”. IEEE Trans. Computers261182–1191.

Mamdani EH and Procyk TJ, 1979. “A linguistic self-organizing process controller”. Automatica1515–30.

Mandič NJ, Scharf EM and Mamdani EH, 1985. “Practical application of a heuristic fuzzy rule-based controller to the dynamic control of a robot arm”. Proc. IEEE132 (D) 190–203.

Martin TP, Baldwin JF and Pilsworth BW, 1987. “The implementation of FPROLOG–A fuzzy prolog interpreter”. Fuzzy Sets and Systems23119–129.

Masuoka R, Watanabe N, Kawamura A, Owada Y and Asakawa A, 1990. “Neurofuzzy system-fuzzy inference using structured neural network”. In: Proc. 1990 Int. Conf. on Fuzzy Logic and Neural Networks lizuka, Japan, pp. 173–177.

Miyakoshi M and Shimbo M, 1985. “&utions of composite fuzzy relational equations with triangular norms”. Fuzzy Sets and Systems1653–63.

Miyakoshi M and Shimbo M, 1986. “Lower &utions of systems of fuzzy equations”. Fuzzy Sets and Systems1937–46.

Miyarnoto S, 1990. Fuzzy Sets in information Retrieval and Cluster Analysis. Kluwer.

Mizumoto M and Tanaka K, 1976. “Some properties of fuzzy sets of type 2”. Information and Control31312–340.

Mizurnoto M, Fukami S and Tanaka K, 1979. “Some Methods of fuzzy reasoning”. In: Advances in Fuzzy Set Theory and Applications (Gupta MM, Ragade RK and Yager RR, eds.) North-Holland, pp. 117–126.

Mizumoto M and Zimmermann H, 1982. “Comparison of fuzzy reasoning methods”. Fuzzy Sets and Systems8253–283.

Mizumoto M, 1985. “Extended fuzzy reasoning”. In: Approximate Reasoning in Expert Systems (Gupta M et at., eds.). North-Holland, pp. 71–85.

Mizumoto M, 1988. “Fuzzy controls under various fuzzy reasoning methods”. Information Sciences45129–151.

Muarakami S, Takemoto F, Fujimura H and Ide E, 1989. “Weld-line tracking control of arc welding robot using fuzzy logic controlled”. Fuzzy Sets and Systems32(4) 221–237.

Murata T, Subrahmanian VS and Wakayama T, 1991. “A Petri net model for reasoning in the presence of inconsistency”. IEEE Trans. Knowledge and Data Engineering3(3) 281–292.

Nakanishi S, Tagaki T, Uehara K and Gotoh Y, 1990. “Self-organizing fuzzy controllers by neural networks”. In: Proc. tnt. Conf. on Fuzzy Logic and Neural Networks lizuka, Japan, pp. 187–192.

Nakanishi S and Takagi T, 1990. “Pattern recognition by neural networks and fuzzy inference”. In: Proc. 1990 mt. Conf. on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 183–186.

Nedungadi A and Wenzel DJ, 1991. “A novel approach to robot control using fuzzy logic”. In: Proc. '91 IEEE international Conference on Systems, Man and cybernetics pp. 1925–1930.

Ncgoita CV and Ralescu D, 1975. Application of Fuzzy Sets to Systems Analysis. Birkhauser Verlag.

Negoita CV and Ralescu DA, 1987. Simulation, Knowledge-based Computing and Fuzzy Statistics. Van Nostrand Reinhold.

Okada H., Watanabe N, Kawamura A, Asakawa A, Taira T, Ishida K, Kaji T and Narita N, 1992. “Knowledge implementation multilaycr neural networks with fuzzy logic”. In: Proc. 2nd int. Conf. on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 99–102.

Ostergaard JJ, 1976. “Fuzzy logic control of a heat exchange process”. Report No. 7601, Electr. Power Dept. Tech. Univ. of Denmark.

Palm R, 1989. “Fuzzy controller for a sensor guided robot manipulator”. Fuzzy Sets and Systems31(2) 133–149.

Pao YH, 1989. Adaptive Pattern Recognition and Neural Networks. Addison-Wesley.

Pappis CP and Sugeno M, 1976. “Fuzzy relational equations and the inverse problem”. Internal Report. Queen Mary College, London.

Pappis CP and Sugeno M, 1985. “Fuzzy relational equations and the inverse problem”. Fuzzy Sets and System1579–90.

Pcrdrycz W, 1980. “On the use of Lukasiewicz logic for fuzzy control”. Arch. Autoin.3301–313.

Perdrycz W, 1993. Fuzzy Control and Fuzzy Systems. Wiley.

Peterson JL, 1981. Petri Net Theory and the Modelling of Systems. Prentice-Hall.

Petri CA, 1962. “Kommunikation mit automaten”. Schriften des Rheinish-Westfalischen Institute für lnstrumcntelle Mathematik an der Universität Bonn Heft 2, Bonn, Germany.

Reising W, 1985. Petri Nets. Springer-Verlag.

Sakawa M, 1983. “Interactive computer programs for fuzzy linear programming with multiple objectives”. bit. J. Man-Machine Studies18489–503.

Sakawa M and Yano H, 1986. “An interactive fuzzy decision making method using constraint problems”. IEEE Trans. Systems Man cybern.16179–182.

Scharf EM and Mandi NJ, 1985. “application of a fuzzy controller to the control of a multi-degree of freedom robot arm”. In: Industrial Applications of Fuzzy Control (Sugeno M, ed.) North-Holland.

Scharf E, 1985. “Fuzzy logic could redefine robot control”. Automation21(2) 11–14.

Schweppe FC, 1968. “Recursive state estimation: Unknown but bounded errors and systems inputs”. IEEE Trans. Auto. Contr.13(1) 22–28.

Scung-Woo K and Mignon P, 1991. “Fuzzy compliance robot control”. In: Proc. IROS '91 International Workshop on intelligent Robots and Systems pp. 1628–1631.

Siler W, 1987. “FLOPS: A fuzzy expert system shell”. Preprints: 2nd IFSA Congress pp. 848–850.

Siler W and Buckley JJ, 1987. “Managing uncertainty in a fuzzy expert system. Part 2: Truth maintenance system”. Preprints: 2nd IFSA Congress pp. 744–746.

Silverman RH and Noetzel A, 1990. “Image processing and pattern recognition in ultrasonograms by backpropagation”. Neural Networks3593–603.

Sira-Ramirez H, 1980. “Fuzzy state estimation in linear dynamic systems”. In: Proc. IEEE Conf. on Decision and Control2380–382.

Sira-Ramirez H, 1979. “Evolution of fuzzy sets in linear dynamic systems”. In: Proc. 1979 lnt. Conf. on Cybernetics and SocietyDenver, CO.

Siy P and Chen CS, 1974. “Fuzzy logic for handwritten numerical character recognition”. IEEE Trans. Syst., Man Cybern. 4570–575.

Sosnowski ZA, 1990. “FLISP —A language for processing fuzzy data”. Funny Sets, and Systems3723–32.

Sosnowski ZA, 1991. “Data structures for representing and processing of fuzzy information in Lisp”. Computers and Artificial Intelligence10(6) 561–571.

Stellakis KM and Valavanis KP, 1991. “Fuzzy logic-based formulation of the organizer of intelligent robotic systems”. Journal of Intelligent and Robotics Systems: Theory and Applications4(1) 1–24.

Stipanicev D, De Neyer M and Gorez R, 1991. “Self-tuning self-organizing fuzzy robot control”. In: Robot Control (Troch I, Desoyer K and Kopacek P, eds.). Pergamon Press, pp. 171–176.

Sugeno M, 1985. IndustrialApplications of Fuzzy Control. North-Holland.

Sugeno M and Nishida M, 1985. “Fuzzy control of model car”. Fuzzy Sets and Systems16103–113.

Sugeno M and Murakami K, 1985. “An experimental study on fuzzy parking control using a model car”. In: Industrial Applications of Fuzzy Control (Sugeno M, ed). North-Holland, pp. 125–138.

Suh Il, Hong Jong Hyuck Hong, Sang-Rok Oh and Kwang Bae Kim, 1991. “Fuzzy rule-based position&force control of industrial manipulators”. In: Proc. IROS '91 International Workshop on Intelligent Robots and Systems, Osaka, Japan, pp. 111–116.

Takagi T and Sugeno M, 1985. “Fuzzy identification of systems and its applications to modelling and control”. IEEE Trans. Syst., Man Cybern.15116–132.

Takagi H, 1990. “Fusion technology of fuzzy theory and neural network-survey and future directions”. In: Proc. 1990 mt. Conf. on Fuzzy Logic and Neural Networkslizuka, Japan, pp. 13–26.

Takagi H and Hayashi I, 1991. “Artificial neural networks driven fuzzy reasoning”. hit. J. Approximate Reasoning5191–212.

Takagi T and Sugeno M, 1993. “Derivation of fuzzy control rules from human operator's control actions”. In: Proc. IFACSymp. on Fuzzy Information, Knowledge Representation and Decision AnalysisMarseilles, France, pp. 55–60.

Takahashi H and Minami H, 1989. “Subjective evaluation modelling using fuzzy logic and a neural network”. Proc. 3rd mt. Congress on Fuzzy Systems AssociationSeattle, WA, pp. 520–523.

Takeuchi T, Nagai Y and Enomoto N, 1988. “Fuzzy control of a mobile robot for obstacle avoidance”. Information Sciences45(2) 231–248.

Takeuchi T, 1991. “An autonomous fuzzy mobile robot”. Advanced Robotics5(2) 215–230.

Tanaka H, Uejima S and Asai K, 1982. “Linear regression analysis with fuzzy model”. IEEE Trans. Syst. Man ybern. (12)(6).

Tanaka H and Watanabe J, 1988. “Possibilistic linear systems and their applications to the linear regression model”. Fuzzy Sets and Systems27275–289.

Tanaka H and Ishibuchi H, 1991. “Identification of possibilistic linear systems by quadratic membership functions of fuzzy parameters”. Fuzzy Sets and Systems41145–160.

Tanscheit R and Scharf RJ, 1988. “Experiments with the use of a rule-based self-organizing controller for robotics applications”. Fuzzy Sets and Systems26195–214.

Teichrow J, Horskotte E and Togai M, 1989. “The fuzzy-C compiler: A software tool for producing portable fuzzy expert systems”. In: Proc. 3rd IFSA Congress, Int. Fuzzy Systems, Association, pp. 708–711.

Thomason MG, 1977. “Convergence of powers of a fuzzy matrix”. J. Math Anal. Appl.57476–480.

Tong RM, 1976. “Analysis of fuzzy control algorithms using the relational matrix”. Int. J. Man-Machine Studies8679–686.

Tong RM, 1977a. “A control engineering review of fuzzy systems”. Automatica13559–569.

Tong RM, 1977b. “Analysis and control of fuzzy systems using finite discrete relations”. Int. J. Control32.

Tong RM, Beck MB and Latten A, 1980. “Fuzzy control of the activated sludge wastewater treatment process”. Automatica16695–701.

Tsukamoto Y, 1979. “Fuzzy logic based on Lukasiewicz logic and its application to diagnosis and control”. PhD Thesis, Tokyo Institute of Technology.

Tzafestas SG, 1986. “Knowledge engineering approach to system modelling, diagnosis, supervision and control”. In: Proc. IFAC&IMACS Symp. on Simul. of Control SystemsVienna, Austria.

Also, 1989, Systems Anal. Modelling Simul.61–19.)

Tzafestas SG, 1987. “Artificial intelligence techniques in control”. In: Al, Expert Systems and Languages in Modelling and Simulation (Kulikowski C and Ferrate G, eds.). North-Holland, pp. 55–67.

Tzafestas SG (ed.), 1988. Knowledge-based System Diagnosis, Supervision and Control. Plenum.

Tzafestas SG and Papanikolopoulos N, 1988. “Intelligent PID control based on fuzzy logic”. In: Proc. IFAC Symp. on Distributed Intelligence Systems Methods and Applications (DIS '88)Varna, Bulgaria.

Tzafestas SG, 1990a. “Petri-net and knowledge-based methodologies in Manufacturing systems modelling, simulation and control”. Systems & Control Encyclop.: Suppl. 1. Pergamon Press.

Tzafestas SG, 1990b. “Al techniques in computer-aided manufacturing systems”. In: Knowledge Engineering (Adeli H, ed). McGraw-Hill, pp. 212.

Tzafestas SG and Papanikolopoulos N, 1990. “Incremental fuzzy expert PID control”. IEEE Trans. Industrial Electron.37(5) 365–371.

Tzafestas SG, 1991. “Adaptive, robust and fuzzy rule-based control of robotic manipulators”. In: Intelligent Robotic Systems (Tzafestas SO, ed.). Marcel Dekker, pp. 313–419.

Tzafestas SG, Stamou GB and Watanabe K, 1994. “Fuzzy reasoning through a general neural network model”. In: Fuzzy Reasoning in Information, Decision and Control Systems (Tzafestas SG and Venetsanopoulos AN, eds.). Kluwer, pp. 145–161.

Tzafestas SG, Hatzivasiliou FV and Kaltsounis SK, 1994. “Fuzzy logic design of a nondestructive robotic fruit collector”. In: Fuzzy Reasoning in Information, Decision and Control Systems (Tzafestas SO and Venetsanopoulos AN, eds.). Kluwer, pp. 553–561.

Tzafestas SG, Terzakis S and Venetsanopoulos AN, 1994. “Fuzzy parameter and state estimation”. In: Fuzzy Reasoning in Information, Decision and Control Systems (Tzafestas SO and Venetsanopoulos , eds.). Kluwer, pp. 347–368.

Tzafestas SG, Palios L and Cholin F, 1994. “Diagnostic expert system inference engine based on the certainty factors model”. Knowledge-Based Systems7(1) 17–26.

Tzafestas SG and Venetsanopoulos AN, 1994. Fuzzy Reasoning in Information Decision and Control Systems. Kluwer.

Tzafestas SG and Stamou G, 1994. “A fuzzy path planning algorithm for autonomous robots in an uncertain environment”. In: Proc. EURISCON '94: The 2nd European Robotics and Intelligent Systems ConferenceMalaga, Spain.

Uehara K and Fujise M, 1990. “Learning of fuzzy-inference criteria with artificial neural network”. In: Proc. Int. Conf. on Fuzzy Logic and Neural Networkslizuka, Japan, pp. 193–198.

Umano M, Mizumoto M and Tanaka K, 1978. “FSTDS system: A fuzzy-set manipulation system”. Information Sciences15115–159.

Umano M, 1987a. “Fuzzy-Set Prolog”. Preprints: 2nd IFSA Congress, pp. 750–753.

Umano M, 1987b. “Fuzzy-set manipulation system in Lisp”. Preprints: 2nd IFSA Congress, pp. 840–843.

Umbers IG and King PJ, 1980. “An analysis of human decision-making in cement kiln control and the implications for automation”, Int. J. Man-Machine Studies1211–23.

Uragami M, Mizumoto M and Tanaka K, 1976. “Fuzzy robot controls”. Journal of cybernetics6(1–2) 39–64.

Vachtsevanos GJ, Davey K and Lee KM, 1987. “Development of a novel intelligent robotic manipulator”. IEEE Control Systems Magazine7(3) 9–15.

Valavanis KP and Stellakis KM, 1991. “A general organizer model for robotic assemblies and intelligent robotic systems”. IEEE Trans. on Systems, Man and Cybernetics21(2) 302–317.

Van Nauta Lemke HR and Dezhao W, 1985. “Fuzzy PID supervisor”. In: Proc. 24th IEEE CDC, Paper WP 9–5: 15, pp. 602–608.

Van Amerongen J, Van Nauta Lemke HR and Van der Veen CT. 1977. “An autopilot for ships designed with fuzzy sets”. In: Proc. 5th IFACIIFIP Int. Conf. on Digital Camp. Appl. to Process Control.

Wakileh BAN and Gille KS, 1988. “Use of fuzzy logic in robotics”. Computers in Industry10(1) 35–46.

Watanabe K, Jis S and Tzafestas SG, 1994. “Fuzzy control for robot manipulators with artificial rubber muscles”. In: Fuzzy Reasoning in Information, Decision and Control Systems. Kluwer, pp. 493–510.

Wenstop F, 1976. “Deductive verbal models of organizations”. Int. J. Man-Machine Studies8293–311.

Witsenhausen H, 1968. “Set of possible states for linear systems given perturbed observations”. IEEE Trans. Auto. Contr.13(5) 556–558.

Xu Y, Paul RP and Shun HY, 1991. “Fuzzy control of robot and compliance wrist systems”. In: Proc. IEEE Industry Applications Society Annual Meeting pp. 1431–1437.

Yager RR, 1992. “Implementing fuzzy logic controllers using a neural network framework”. Fuzzy Sets and Systems4853–64.

Yamakawa T, 1990. “Pattern recognition hardware system employing a fuzzy neuron”. In: Proc. Int. Conf. on Fuzzy Logic and Neural Networkslizuka, Japan, pp. 943–948.

Yamamoto S, 1994. “Software representation of fuzzy sets and logic”. In: Fuzzy Reasoning in information, Decision and Control Systems (Tzafestas SO and Venetsanopoulos AN, eds.). Kluwer, pp. 52–68.

Yasunobu S and Hasegawa T, 1986. “Evaluation of an automatic container crane operation system based on predictive fuzzy control”. Control-Theory and Advanced Technology2419–432.

Yen J, 1990. The Role of Fuzzy Logic in the Control of Neural Networks. In: Proc. Int. Conf. on Fuzzy Logic and Neural Networks. lizuka, Japan, pp. 771–774.

Zadeh LA, 1965. “Fuzzy Sets”. Inform, and Control8338–353.

Zadeh LA, 1969. “Fuzzy algorithms”. Inform, and Control11323–339.

Zadeh LA, 1970. “Theory of approximate reasoning”. In: Machine Intelligence 9 (Hayes JE, Michie D and Mikulich LI, eds.). Ellis Horwood, pp. 149–194.

Zadeh LA, 1973. “Outline of a new approach to the analysis of complex systems and decision processes”. IEEE Trans. Syst, Man. Cybern, 328–44.

Zadeh LA, 1975. “Fuzzy logic and approximate reasoning. (In Memory of Grigore Moisil)”. Synthèse30407–428.

Zadeh LA, 1978. “PRUF-A meaning representation language for natural languages”. Int. J. Man-Machine Studies10395–460.

Zadeh LA, 1983a. “A computational approach to fuzzy quantifiers in natural languages”. Comp. & Maths.9149–184.

Zadeh LA, 1983b. “Commonsense knowledge representation based on fuzzy logic”. Computer10, 63–65.

Zahzah EH, Desachy J and Zehana M, 1992. “A fuzzy connectionist approach for a knowledge based image interpretation system”. In: Proc. 2nd Int. Conf. on Fuzzy Logic and Neural Networkslizuka, Japan, pp. 1135–1138.

Zhou MC and Leu MC, 1991. “Petri net modeling of a flexible assembly station for printed circuit boards”. In: Proc. 1991 IEEE mt. Conf. on Robotics and Automation Sacramento, pp. 2530–2535.

Zhuang WP, Qiao WZ and Heng TH, 1990. “The truth-valued flow inference network”. In: Proc. 1990 Int Conf. on Fuzzy Logic and Neural Networkslizuka, Japan, pp. 267–281.

Zirnmermann HJ, 1992. “Approximate reasoning in manufacturing”. In: Intelligent Design and Manufacturing (Kusiak A, ed). Wiley, pp. 701–722.