Data-Driven Modelling with Fuzzy Sets : Embracing Uncertainty

Language: English

Published by Taylor & Francis Ltd (Sales) Mai 2026, 2026

1032749598 / 9781032749594

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as the shortage of precise knowledge or complete information and possibility theory is devoted to the handling of incomplete information. Zadeh articulated the relationship between possibility and probability, noticing that what is probable must preliminarily be possible. Following the Zadeh's fuzzy set, various generalizations (intuitionistic, neutrosophic, rough, soft sets, etc.) have been introduced enabling a more effective management of all types of the existing in real world uncertainty. This book presents recent theoretical advances and applications of fuzzy sets and their extensions to Science, Humanities and Education.This book: - Presents a qualitative assessment of big data in the education sector using linguistic Quadri partitioned single valued neutrosophic soft sets. - Showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity Index. - Covers scientific evaluation of student academic performance using single value neutrosophic Markov chain. - Illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment. - Examines estimation of distribution algorithm based on multiple attribute group decision-making to evaluate teaching quality. It is primarily written for Senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

Seller Inventory # 9781032749594

Title
Data-Driven Modelling with Fuzzy Sets : Embracing Uncertainty
Author
Said Broumi
Publisher
Taylor & Francis Ltd (Sales) Mai 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1032749598
ISBN 13
9781032749594
Item weight
485 grams
Dimensions
234x156x18 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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