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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty

Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty

Broumi, Said
Nagarajan, D.
Voskoglou, Michael Gr

Hardcover

Series: Intelligent Data-Driven Systems and Artificial Intelligence

Technology & EngineeringGeneral Computers

ISBN10: 1032550104
ISBN13: 9781032550107
Publisher: CRC Press
Published: Jul 17 2024
Pages: 332
Weight: 1.46
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

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.

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