The 2-tuple Linguistic Model: Computing with Words in by Luis Martínez, Rosa M. Rodriguez, Francisco Herrera

By Luis Martínez, Rosa M. Rodriguez, Francisco Herrera

This e-book examines one of many extra universal and favourite methodologies to house uncertainty in real-world determination making difficulties, the computing with phrases paradigm, and the bushy linguistic procedure. The 2-tuple linguistic version is the most well-liked technique for computing with phrases (CWW), since it improves the accuracy of the linguistic computations and retains the interpretability of the consequences.

The authors supply an intensive evaluate of the really good literature in CWW and spotlight the quick progress and applicability of the 2-tuple linguistic version. They discover the rules and methodologies for CWW in complicated frameworks and extensions. The ebook introduces the software program FLINTSTONES that gives instruments for fixing linguistic determination difficulties in keeping with the 2-tuple linguistic model.

Professionals and researchers operating within the box of class or fuzzy units and platforms will locate The 2-tuple Linguistic version: Computing with phrases in choice Making a necessary source. Undergraduate and postdoctoral scholars learning desktop technological know-how and data also will locate this publication an invaluable learn guide.

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Extra info for The 2-tuple Linguistic Model: Computing with Words in Decision Making

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Computing with words and information/intelligent systems 2:applications, chapter Approximate reasoning as a basis for computing with words, pages 50–77. Physica Verlag, 1999. 67. R. Yager. On the retranslation process in Zadeh’s paradigm of computing with words. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 34(2):1184–1195, 2004. 68. R. Yager. Aggregation of ordinal information. Fuzzy Optimization and Decision Making, 6(3):199–219, 2007. 69. J. Yang and G. Mandan. An evidential reasoning approach for multiple attribute decision making with uncertainty.

Expert Systems with Applications, 35(4):2041–2048, 2008. 2. R. Bellman, L. A. Zadeh. Abstraction and pattern classification. Journal of Mathematical Analysis and Applications, 13(1):1–7, 1966. 3. E. A. Zadeh. Decision making in a fuzzy environment. Management Science, 4(17), 1970. 4. P. Bonissone. A fuzzy sets based linguistic approach: Theory and applications, pages 329–339. Approximate Reasoning in Decision Analysis, North-Holland, 1982. 18 1 Linguistic Decision Making and Computing with Words 5.

Yang, and F. Herrera. A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis. International Journal of Intelligent Systems, 20(12):1161–1194, 2005. 42. L. Martínez, D. Ruan, and F. Herrera. Computing with words in decision support systems: An overview on models and applications. International Journal of Computational Intelligence Systems, 3(4):382–395, 2010. 43. L. Martínez, D. Ruan, F. Herrera, E. P. Wang. Linguistic decision making: Tools and applications.

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