1996
DOI: 10.1016/0165-0114(95)00077-1
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Cooperative neighbors in defuzzification

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Cited by 28 publications
(9 citation statements)
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“…They have provided many possible solutions, and we will discuss a few of them in the following sections. Similarly, Roychowdhury and Wang 21 have attempted to understand the problem of defuzzification from the scope of optimal selection of an element from a fuzzy set. They have used the concepts of interaction, variability, and voting techniques to compute an optimal solution.…”
Section: The Standard Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…They have provided many possible solutions, and we will discuss a few of them in the following sections. Similarly, Roychowdhury and Wang 21 have attempted to understand the problem of defuzzification from the scope of optimal selection of an element from a fuzzy set. They have used the concepts of interaction, variability, and voting techniques to compute an optimal solution.…”
Section: The Standard Methodsmentioning
confidence: 99%
“…21, Roychowdhury and Wang attempted to explain the concept of defuzzification using the ideas of evolutionary biology. In evolutionary biology, the ecology is functionally dependent on the interaction of the different species, and is guided by the principle of natural selection.…”
Section: Optimal Selection Through Interacting Neighborsmentioning
confidence: 99%
“…One of them, pursued by Roychowdhury and Wang (1996) and Roychowdhury et al (1999) is based on exploring the interaction between the chosen element and its neighbors in a way inspired by evolutionary biology. The authors show that the method is suitable for adaptation to search for optimal value.…”
Section: Defuzzification As a Special Way 689mentioning
confidence: 99%
“…The robust strongly satisficing set can now be defined by restricting the robust satisficing set to the region of support defined by the robust equilibrium set . The robust satisficing set can be expressed as (13) otherwise (14) from which we see that (7) and (8) are special cases with a singleton and a delta function placing all belief mass on the single value . We now have a general definition for a robust strongly satisficing control.…”
Section: Robustnessmentioning
confidence: 99%