Title :
Factor selection of a fuzzy system
Author :
Wang, Hsiao-Fan ; Lin, Long-Shuh
Author_Institution :
Dept. of Ind. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
In daily life, we normally describe our concepts and problems in linguistic terms. Due to the vagueness of our natural languages, a classical approach is unable to fully capture the properties (factors) of such concepts and problems, and hence can not provide decision makers complete information for making an appropriate decision. Therefore, in this paper, we first classify the general fuzzy data of a problem which are presented by human linguistic terms into different categories and based on their properties, each of them is described by an appropriate fuzzy set. Then, by investigating the properties of a problem as factors of a system, a fuzzy multi-objective linear programming (FMOLP) model is proposed from the viewpoint of evidence theory and information theory to measure the uncertainty of a fuzzy problem. A learning procedure is also designed to inquire the complete information according to the required level of sufficiency, α. Finally, an example of a mobile phone service (MPS) is presented to show the proposed model
Keywords :
case-based reasoning; decision theory; fuzzy logic; fuzzy set theory; fuzzy systems; information theory; linear programming; natural languages; uncertainty handling; decision makers; evidence theory; factor selection; fuzzy multi-objective linear programming model; fuzzy set; fuzzy system; human linguistic terms; information theory; learning procedure; mobile phone service; natural languages; sufficiency level; uncertainty; vagueness; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Industrial engineering; Information theory; Linear programming; Measurement uncertainty; Mobile handsets; Natural languages;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.622866
