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: It is proved that it is possible to recover the fuzzy sets used in the construction from the intuitionistic fuzzy set constructed by means of different operators, and the importance the construction theorems will have in the future research relative to the obtainment of the conclusion of the generalized modus ponens when the antecedents of the normalized modus Ponens are perturbed.
84 citations
01 Sep 2006
TL;DR: A proper way of calculations not only from a mathematical point of view but also of an intuitive appeal making use of all the relevant information is shown.
Abstract: We show and justify how to calculate distances for intuitionistic fuzzy sets. We show a proper way of calculations not only from a mathematical point of view but also of an intuitive appeal making use of all the relevant information.
84 citations
TL;DR: The proposed cascaded fuzzy system simplifies and speeds up the computation of WQI as compared to the currently existing standards and it is found that the designed model results in accurate prediction.
84 citations
TL;DR: A comprehensive literature review on the fuzzy set theory is realized and this literature review also analyzes the chronological development of these extensions.
Abstract: Fuzzy sets have a great progress in every scientific research area. It found many application areas in both theoretical and practical studies from engineering area to arts and humanities, from computer science to health sciences, and from life sciences to physical sciences. In this paper, a comprehensive literature review on the fuzzy set theory is realized. In the recent years, ordinary fuzzy sets have been extended to new types and these extensions have been used in many areas such as energy, medicine, material, economics and pharmacology sciences. This literature review also analyzes the chronological development of these extensions. In the last section of the paper, we present our interpretations on the future of fuzzy sets.
84 citations
25 Nov 2007
TL;DR: This work proposes D-FLER, a distributed, general-purpose reasoning engine for WSN that uses fuzzy logic for fusing individual and neighborhood observations, in order to produce a more accurate and reliable result.
Abstract: We propose D-FLER, a distributed, general-purpose reasoning engine for WSN. D-FLER uses fuzzy logic for fusing individual and neighborhood observations, in order to produce a more accurate and reliable result. Thorough simulation, we evaluate D-FLER in a fire-detection scenario, using both fire and non-fire input data. D-FLER achieves better detection times, while reducing the false alarm rate. In addition, we implement D-FLER on real sensor nodes and analyze the memory overhead, the numerical accuracy and the execution time.
84 citations