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Fine-Kinney-based fuzzy multi-criter...
~
Gul, Muhammet.
Fine-Kinney-based fuzzy multi-criteria occupational risk assessmentapproaches, case studies and Python applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Fine-Kinney-based fuzzy multi-criteria occupational risk assessmentby Muhammet Gul ... [et al.].
其他題名:
approaches, case studies and Python applications /
其他作者:
Gul, Muhammet.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xv, 163 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Risk assessmentMathematical models.
電子資源:
https://doi.org/10.1007/978-3-030-52148-6
ISBN:
9783030521486$q(electronic bk.)
Fine-Kinney-based fuzzy multi-criteria occupational risk assessmentapproaches, case studies and Python applications /
Fine-Kinney-based fuzzy multi-criteria occupational risk assessment
approaches, case studies and Python applications /[electronic resource] :by Muhammet Gul ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 163 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3981434-9922 ;. - Studies in fuzziness and soft computing ;v.273..
Fine-Kinney Occupational Risk Assessment Method and its Extensions by Fuzzy Sets: A State of the Art Review -- Fine-Kinney Based Occupational Risk Assessment Using Fuzzy Quality Function Deployment -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy TOPSIS -- Fine-Kinney Based Occupational Risk Assessment Using Interval Valued Pythagorean Fuzzy VIKOR -- Fine-Kinney Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM -- Fine-Kinney Based Occupational Risk Assessment Using Hesitant Fuzzy MULTIMOORA -- Fine-Kinney Based Occupational Risk Assessment Using Single Valued Neutrosophic TOPSIS -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy QUALIFLEX -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy VIKOR.
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.
ISBN: 9783030521486$q(electronic bk.)
Standard No.: 10.1007/978-3-030-52148-6doiSubjects--Topical Terms:
237946
Risk assessment
--Mathematical models.
LC Class. No.: HD61
Dewey Class. No.: 658.155
Fine-Kinney-based fuzzy multi-criteria occupational risk assessmentapproaches, case studies and Python applications /
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Fine-Kinney Occupational Risk Assessment Method and its Extensions by Fuzzy Sets: A State of the Art Review -- Fine-Kinney Based Occupational Risk Assessment Using Fuzzy Quality Function Deployment -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy TOPSIS -- Fine-Kinney Based Occupational Risk Assessment Using Interval Valued Pythagorean Fuzzy VIKOR -- Fine-Kinney Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM -- Fine-Kinney Based Occupational Risk Assessment Using Hesitant Fuzzy MULTIMOORA -- Fine-Kinney Based Occupational Risk Assessment Using Single Valued Neutrosophic TOPSIS -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy QUALIFLEX -- Fine-Kinney Based Occupational Risk Assessment Using Interval Type-2 Fuzzy VIKOR.
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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.
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