Titlebook: Recent Developments and New Direction in Soft-Computing Foundations and Applications; Selected Papers from Lotfi A. Zadeh,Ali M. Abbasov,Ma

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Bipolarity and Multipolarity in Aggregation Structuresing of bipolarity that might be present in the specification of user preferences in selection criteria. Indeed, past and recent research revealed that users often express their preferences for criteria specifications in a bipolar and sometimes even multipolar way.

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Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky’s Empirical Decision Weightsected gain, people maximize a weighted gain, with weights determined by the corresponding probabilities. The corresponding empirical weights can be explained qualitatively, but quantitatively, these weights remain largely unexplained. In this paper, we show that with a surprisingly high accuracy, th

Mumble

A Fuzzy Multiagent Approach for Integrated Product Life Cycle Environmentich integrates business and scheduling data. The key problem is to simulate human-like decision-making process to provide agile manufacturing process. Multiagent technologies play a key role in this problem and form an integration platform between human and manufacturing. Also developing distributed

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Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognitionm is used to combine the different responses of modular neural networks (MMNs). In this case, the MMNs are used to perform the human recognition using 4 biometric measures: face, iris, ear, and voice. The main idea is the optimization of some parameters of a fuzzy inference system such as the type o

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Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection2 fuzzy logic. For the optimization of the fuzzy inference system, the cuckoo search (CS) algorithm is applied, the idea is to find the design parameters of an IT2-FLS and achieve better results in applications of edge detection for digital images.

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