Open AccessBook
Fuzzy Measure Theory
Zhenyuan Wang,George J. Klir +1 more
TLDR
Introduction.Abstract:
Introduction. Required Background in Set Theory. Fuzzy Measures. Extensions. Structural Characteristics for Set Functions. Measurable Functions on Fuzzy Measure Spaces. Fuzzy Integrals. PanIntegrals. Applications. Index.read more
Citations
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Journal ArticleDOI
Set defuzzification and choquet integral
TL;DR: This paper proposes a set defuzzification method, (from a fuzzy set to a crisp set) by using the Aumann integral and compares fuzzy measure method with the Choquet integral method.
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What are the Random and Fuzzy Sets and How to Use Them for Uncertainty Modelling in Engineering Systems
TL;DR: Inclusion and extension, through a deterministic function, of random sets or relations give powerful methods to evaluate probabilistic bounds of the response of deterministic systems with uncertain parameters or uncertain input variables.
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Cognitive information processing
TL;DR: Contains goals, background, research activities on one research project and reports on three research projects that aim to improve the quality of knowledge and understanding of central nervous system disorders.
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Monitored heavy fuzzy measures and their role in decision making under uncertainty
TL;DR: An extension of the fuzzy measure called the monitored heavy fuzzy measure is introduced, and a general class of aggregation operators that include both mean type operators and totaling type operators are obtained.
A syllable, articulatory-feature, and stress-accent model of speech recognition
TL;DR: Analysis results provide evidence for an alternative approach of speech modeling, one in which the syllable assumes pre-eminent status and is melded to the lower as well as the higher tiers of linguistic representation through the incorporation of prosodic information such as stress accent.