scispace - formally typeset
Open AccessBook

Fuzzy Measure Theory

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
More filters
Proceedings ArticleDOI

Partial absorption aggregators with Fuzzy Integrals

TL;DR: This work aims to enrich fuzzy integrals with the power to model partial absorption operators by redefining specific weights of internal sets in fuzzy measures from constants to functions in order to model this behavior.
Book ChapterDOI

Polynomial Nonlinear Integrals

TL;DR: Experiments show that there is evident advancement of performance for PNI compared to classical NI and the performance is not definitely rising as the highest power is increased, so the virtual values gotten by Nonlinear Integrals can be more regularized well and better to deal with.
Journal ArticleDOI

Truncation Method for Chance Measure

TL;DR: This result is a natural extension of the classical truncation method to the case where the measure tool is non-additive, and generalizes the research and applications of the truncations method.
Proceedings ArticleDOI

A Research on Discrimination of CET-4 Writing Test Based on Sugeno Measure

Shi Weixuan, +1 more
TL;DR: The experimental results have shown that the integrated results are significantly correlated to scores of range finder sample compositions, which indicates the high discrimination of CET-4 writing test.
Book ChapterDOI

Recent Models and Solution Methodologies for Optimization Problems in Supply Chain Management Under Fuzziness

TL;DR: The purpose of this study is basically to summarize the fuzzy techniques employed for SC optimization models, their past applications, solutions algorithms and offer directions for future research.