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Fuzzy Logic Applications in Computer Science and Mathematics
book

Fuzzy Logic Applications in Computer Science and Mathematics

by Rahul Kar, Dac-Nhuong Le, Gunjan Mukherjee, Biswadip Basu Mallik, Ashok Kumar Shaw
October 2023
Intermediate to advanced content levelIntermediate to advanced
304 pages
6h 44m
English
Wiley-Scrivener
Content preview from Fuzzy Logic Applications in Computer Science and Mathematics

1Decision Making Using Fuzzy Logic Using Multicriteria

Panem Charanarur1, Srinivasa Rao Gundu2* and J.Vijaylaxmi3

1Department of Cyber Security and Digital Forensics, National Forensic Sciences University, Tripura Campus, Tripura, India

2Department of Computer Science, Government Degree College-Sitaphalmandi, Hyderabad, Telangana, India

3PVKK Degree & PG College, Anantapur, Andhra Pradesh, India

Abstract

Fuzzy set theory and multicriteria decision making were initially introduced in the early 1970s. As a consequence, a wide variety of innovative solutions have been tried and confirmed through the use of fuzzy multicriteria decision making. The following section provides a quick overview of fuzzy multicriteria decision-making categories, as well as some of their earliest and most recent uses. Uncertainty and ambiguity are synonyms for the adjective “fuzzy.” Since there are numerous instances in real life when we are not able to discern whether a given condition is true or untrue, the flexibility that fuzzy logic gives is quite helpful when making decisions. There will always be some degree of inaccuracy and unpredictability to every circumstance. The development of fuzzy set theory and the rise of decision making are closely linked. It was necessary to highlight the groundbreaking applications of fuzzy multicriteria decision making (MCDM) in order to encourage more research in this field. Many real-world Malaysian cases are used to demonstrate the broad range of applications ...

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Publisher Resources

ISBN: 9781394174539Purchase Link