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Fuzzy Measure Theory

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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.

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Journal ArticleDOI

A fuzzy decision model for color reproduction

TL;DR: In this model, a fuzzy set of quality factors is introduced and a numerical quality value calculated and this measure is then compared with an acceptable quality value experimentally established for particular customers and printing processes.
Journal ArticleDOI

Model for measuring quality of software in DVRS using the gap concept and fuzzy schemes with GA

TL;DR: A model of software quality is proposed to measure the quality of the software in a digital video recorder system (DVRS) during its development stage based on the gap concept between perceive performance by the developers and satisfaction by the end-users, acquirers and evaluators of third parties in software development stage.
Journal ArticleDOI

Basic generated universal fuzzy measures

TL;DR: Additive (symmetric) basic universal fuzzy measures are shown to correspond to the Yager quantifier-based approach to additive (symetric) fuzzy measures.
Book ChapterDOI

Optimization of Continuous Controllable Extremal Fuzzy Processes and the Choice of Decisions

TL;DR: This chapter deals with the problems of optimization of continuous controllable extremal fuzzy processes that were presented in Chaps, using Bellman’s optimality principle and assuming that the gain–loss process exists for an EFDS.
Journal ArticleDOI

On the convergence of measurable set-valued function sequence on fuzzy measure space

TL;DR: The characterization theorem with respect to measurability of a set-valued function is given and four forms of generalization for both Lebesgue's theorem, Riesz’s theorem, and Egoroff's theorem are discussed.