Topic
Membership function
About: Membership function is a research topic. Over the lifetime, 15795 publications have been published within this topic receiving 418366 citations.
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TL;DR: Fuzzy set ideal type analysis as mentioned in this paper is a framework that allows a precise operationalization of theoretical concepts, the configuration of concepts into ideal types, and the categorisation of cases.
121 citations
TL;DR: A new approach for the detection and classification of single and combined power quality (PQ) disturbances is proposed using fuzzy logic and a particle swarm optimization (PSO) algorithm.
120 citations
Book•
11 May 1997
TL;DR: The Basic Fuzzy Inference Algorithm is presented, followed by a discussion of the design of membership function Shape Analysis and Implication Design, and some examples of fuzzy variable design.
Abstract: Foreword. Preface. Introduction. Theory. The Basic Fuzzy Inference Algorithm. Conceptual Design. Fuzzy Variable Design. Membership Function Shape Analysis. Composing Fuzzy Rules. Implication Design. Appendix: The Basic Fuzzy Inference Algorithm. Index.
120 citations
TL;DR: The concepts of separability and measurability of a fuzzy random function are introduced and some properties of these new concepts are derived and the continuity of fuzzy sample function of a fuzzy stochastic process is investigated.
120 citations
TL;DR: Since the total duration time is completely expressed by a membership function rather than by a crisp value, the fuzziness of activity times is conserved completely, and more information is provided for critical path analysis.
120 citations