Abstract
This paper presents the development and design of a graphical user interface and a command line programming Toolbox for construction, edition and simulation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System (IT2FLS) Toolbox, is an environment for interval type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to the final implementation phase, constitute the Toolbox. The Toolbox’s best qualities are the capacity to develop complex systems and the flexibility that allows the user to extend the availability of functions for working with the use of type-2 fuzzy operators, linguistic variables, interval type-2 membership functions, defuzzification methods and the evaluation of Interval Type-2 Fuzzy Inference Systems.
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References
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics 3(1), 28–44 (1973)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning, Parts 1, 2, and 3. Information Sciences 9, 43–80, 8, 199–249, 8, 301–357 (1975)
Zadeh, L.A.: Fuzzy Logic. Computer 1(4), 83–93 (1988)
Zadeh, L.A.: Knowledge representation in fuzzy logic. IEEE Transactions on Knowledge and Data Engineering 1, 89–100 (1989)
Karnik, N.N., Mendel, J.M.: An Introduction to Type-2 Fuzzy Logic Systems. Univ. of Southern Calif, Los Angeles (1998b)
Zadeh, L.: Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 2, 103–111 (1996)
Liang, Q., Mendel, J.: Interval type-2 fuzzy logic systems: Theory and design. IEEE Transactions Fuzzy Systems 8, 535–550 (2000)
Mendel, J.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, NJ (2001)
Mizumoto, M., Tanaka, K.: Some Properties of Fuzzy Sets of Type-2. Information and Control 31, 312–340 (1976)
Yager, R.R.: On the Implication Operator in Fuzzy logic. Information Sciences 31, 141–164 (1983)
Yager, R.: On a general class of fuzzy connectives. Fuzzy Sets and Systems 4, 235–242 (1980)
Castillo, Melin: A New Method for Adaptive control of Non-Linear Plants using Type-2 Fuzzy Logic and Neural Networks. International Journal General Systems 33(2), 289–304
Castro, J.R.: Hybrid Intelligent Architecture Development for Time Series Forecasting. Masters Degree Thesis. Tijuana Institute of Technology (December 2005)
Castro, J.R.: Interval Type-2 Fuzzy Logic Toolbox. In: Proceedings of International Seminar on Computational Intelligence, pp.100–108. Tijuana Institute of Technology (October 2006)
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Castro, J.R., Castillo, O., Melin, P., Rodríguez-Díaz, A. (2008). Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox. In: Gavrilova, M.L., Tan, C.J.K. (eds) Transactions on Computational Science I. Lecture Notes in Computer Science, vol 4750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79299-4_5
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DOI: https://doi.org/10.1007/978-3-540-79299-4_5
Publisher Name: Springer, Berlin, Heidelberg
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