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Foreword: Special issue on fuzzy expert systems by I. Burhan Türksen; Hideo Tanaka; Junzo Watada is a Computer Science article available to read on EtoBox.

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In this special issue on "Fuzzy Expert Systems," six papers cover a wide range of concerns--from theory to applications including: (1) a rule base reorganization, (2) a linear interpolation, (3) a neuro-fuzzy approach to pairwise comparison, (4) properties of reduction, in transitive matrices, (5) a consistency checking procedure, and (6) a context dependency model. We present a brief review of these papers next. In "Rule Base Reorganization and Search with a Fuzzy Cluster Analysis," Tiirksen and Jiang proposes a fuzzy cluster analysis for the purpose of restructuring a knowledge base where rules are either S-or R-implication types. The proposed algorithm can be implemented either with a compositional or an analogical tolerance relation. It is shown that analogical tolerance relation is more efficient in a rule base restructuring and a rule firing schema, under the proposed search scheme. In "Approximate Reasoning by Linear Rule Interpolation and General Approximation," K6czy and Hirota investigate the problem of sparse fuzzy rule bases. They review various methods of analogical reasoning available in current literature. They discuss concepts of graduality, measurability, distance,

Who reads Foreword: Special issue on fuzzy expert systems?

Author

I. Burhan Türksen; Hideo Tanaka; Junzo Watada

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0888-613X)

Published

1993

Language

EN

Field

Computer Science (Physical Sciences)