Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment : Approaches, Case Studies and Python Applications

Language: English

Published by Springer, 2020

3030521478 / 9783030521479

Series: Book 164 of 183 - Studies in Fuzziness and Soft Computing

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

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Druck auf Anfrage Neuware - Printed after ordering - This book presents a number of approaches to Fine-Kinney-based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process.The book begins by giving a review of Fine-Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX.This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

Seller Inventory # 9783030521479

Title
Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment : Approaches, Case Studies and Python Applications
Author
Muhammet Gul
Publisher
Springer
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030521478
ISBN 13
9783030521479
Item weight
390 grams
Dimensions
241x160x16 mm
Series
Book 164 of 183: Studies in Fuzziness and Soft Computing

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
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