Title :
Computing with words by using fuzzy metric-truth approach
Author :
Niskanen, Vesa A.
Author_Institution :
Dept. of Econ. & Manage., Helsinki Univ., Finland
Abstract :
The author has constructed a reasoning algorithm, referred to as the metric-truth approach. This article applies the algorithm in question to empirical data, the Zimmermann-Zysno data. The algorithm is also compared with both the conventional algorithms and the prevailing fuzzified algorithms. The results show that the metric-truth approach can generate a simple, comprehensible and satisfactory system
Keywords :
fuzzy logic; inference mechanisms; Zimmermann-Zysno data; empirical data; fuzzified algorithms; fuzzy metric-truth approach; reasoning algorithm; Control systems; Decision making; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Natural languages;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.633245
