Topic
Fuzzy associative matrix
About: Fuzzy associative matrix is a research topic. Over the lifetime, 8027 publications have been published within this topic receiving 194790 citations.
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TL;DR: An approach for the automatic definition of the fuzzy rules for a fuzzy controller based on the use of the tabu search (TS) scheme is presented and how the application of the TS process to the learning of a fuzzy rule base can be improved using heuristic symbolic meta rules.
Abstract: We present an approach for the automatic definition of the fuzzy rules for a fuzzy controller based on the use of the tabu search (TS) scheme. We show also how the application of the TS process to the learning of a fuzzy rule base can be improved using heuristic symbolic meta rules. The paper is divided in two parts. The first part presents an introduction to TS and different learning schemes which can be used to apply it for the determination of the fuzzy control rules. The second part illustrates the application of the proposed techniques to a specific control problem-the parking of a truck and trailer. In particular, Section V illustrates the definition of a rule base for a static fuzzy controller, while Section VI presents the construction of an adaptive parking controller.
54 citations
01 Feb 2001
TL;DR: This paper elaborate on two (top-down and bottom-up) strategies of constructing information granules that arise as results of generalization and specialization and some conclusions based on numeric studies are derived.
Abstract: In his paper, we introduce a model of generalization and specialization of information granules. The information granules themselves are modeled as fuzzy sets or fuzzy relations. The generalization is realized by or-ing fuzzy sets while the specialization is completed through logic and operation. These two logic operators are realized using triangular norms (that is t- and a-norms). We elaborate on two (top-down and bottom-up) strategies of constructing information granules that arise as results of generalization and specialization. Various triangular norms are experimented with and some conclusions based on numeric studies are derived.
54 citations
TL;DR: The results of comparative studies and numerical examples indicate that the proposed fuzzy regression model has a better performance than the least-squares method, especially when the data set includes some outlier data point(s).
54 citations
TL;DR: Experation shows that the fuzzy and-operator and product-operator are suitable to reach efficient solutions for the problem on hand and the fuzzy mathematical programming approach is used and fuzzy achievement function of the model is defined by six different fuzzy operators.
54 citations
TL;DR: The aim of this paper is to obtain the crisp solution of a fuzzy linear system and derive the maximal solution and the minimal solution of an original fuzzylinear system which are placed in TSS and CSS, respectively.
54 citations