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001432059 019__ $$a1202457579$$a1237411886
001432059 020__ $$a9783030521486$$q(electronic bk.)
001432059 020__ $$a3030521486$$q(electronic bk.)
001432059 020__ $$z3030521478
001432059 020__ $$z9783030521479
001432059 0247_ $$a10.1007/978-3-030-52148-6$$2doi
001432059 035__ $$aSP(OCoLC)1198558003
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001432059 049__ $$aISEA
001432059 050_4 $$aHD61$$b.G85 2021
001432059 08204 $$a658.15/5$$223
001432059 1001_ $$aGul, Muhammet,$$d1985-$$eauthor.
001432059 24510 $$aFine-Kinney-based fuzzy multi-criteria occupational risk assessment :$$bapproaches, case studies and Python applications /$$cMuhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik.
001432059 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001432059 300__ $$a1 online resource
001432059 336__ $$atext$$btxt$$2rdacontent
001432059 337__ $$acomputer$$bc$$2rdamedia
001432059 338__ $$aonline resource$$bcr$$2rdacarrier
001432059 4901_ $$aStudies in fuzziness and soft computing ;$$vvolume 398
001432059 504__ $$aIncludes bibliographical references.
001432059 5050_ $$aIntro -- Preface -- Contents -- 1 Fine-Kinney Occupational Risk Assessment Method and Its Extensions by Fuzzy Sets: A State-of-the-Art Review -- 1.1 Classical Fine-Kinney Method -- 1.2 Drawbacks of Fine-Kinney Method -- 1.3 Methodology of the State-of-the-Art Review -- 1.4 Fine-Kinney Using MCDM Methods and Fuzzy Sets -- 1.5 Analysis Results of the Review -- 1.6 Conclusion -- References -- 2 Fine-Kinney-Based Occupational Risk Assessment Using Fuzzy Best and Worst Method (F-BWM) and Fuzzy MAIRCA -- 2.1 Fuzzy Set Theory, BWM, and MAIRCA -- 2.1.1 General View on Fuzzy Set Theory
001432059 5058_ $$a2.1.2 BWM Method -- 2.1.3 F-MAIRCA Method -- 2.2 Proposed Fine-Kinney-Based Approach Using F-BWM and F-MAIRCA -- 2.3 Case Study -- 2.3.1 Application Results -- 2.3.2 Validation Study on the Results -- 2.4 Python Implementation of the Proposed Approach -- References -- 3 Fine-Kinney-Based Occupational Risk Assessment Using Interval Type-2 Fuzzy TOPSIS -- 3.1 Interval Type-2 Fuzzy Set and TOPSIS -- 3.1.1 General View on Interval Type-2 Fuzzy Set -- 3.1.2 TOPSIS Method -- 3.2 Proposed Fine-Kinney-Based Approach Using Interval Type-2 F-TOPSIS -- 3.3 Case Study -- 3.3.1 Application Results
001432059 5058_ $$a3.3.2 Validation Study on the Results -- 3.4 Python Implementation of the Proposed Approach -- References -- 4 Fine-Kinney-Based Occupational Risk Assessment Using Interval-Valued Pythagorean Fuzzy VIKOR -- 4.1 Pythagorean Fuzzy Sets and VIKOR -- 4.1.1 General View on Pythagorean Fuzzy Sets -- 4.1.2 VIKOR Method -- 4.2 Proposed Fine-Kinney-Based Approach Using IVPFVIKOR -- 4.3 Case Study -- 4.3.1 Application Results -- 4.3.2 Validation Study on the Results -- 4.4 Python Implementation of the Proposed Approach -- References
001432059 5058_ $$a5 Fine-Kinney-Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM -- 5.1 Intuitionistic Fuzzy Sets and TODIM -- 5.1.1 General View on Intuitionistic Fuzzy Sets -- 5.1.2 TODIM Method -- 5.2 Proposed Fine-Kinney-Based Approach Using IFTODIM -- 5.3 Case Study -- 5.3.1 Application Results -- 5.3.2 Validation Study on the Results -- 5.4 Python Implementation of the Proposed Approach -- References -- 6 Fine-Kinney-Based Occupational Risk Assessment Using Hexagonal Fuzzy MULTIMOORA -- 6.1 Hexagonal Fuzzy Numbers and MULTIMOORA -- 6.1.1 Hexagonal Fuzzy Numbers and Its Operations
001432059 5058_ $$a6.1.2 MULTIMOORA Method -- 6.2 Proposed Fine-Kinney-Based Approach Using HFMULTIMOORA -- 6.2.1 The Fuzzy Ratio System -- 6.2.2 The Fuzzy Reference Point -- 6.2.3 The Fuzzy Full Multiplicative Form -- 6.3 Case Study -- 6.3.1 Application Results -- 6.3.2 Validation Study on the Results -- 6.4 Python Implementation of the Proposed Approach -- References -- 7 Fine-Kinney-Based Occupational Risk Assessment Using Single-Valued Neutrosophic TOPSIS -- 7.1 Neutrosophic Sets and TOPSIS -- 7.1.1 General View on Single-Valued Neutrosophic Sets -- 7.1.2 TOPSIS Method
001432059 506__ $$aAccess limited to authorized users.
001432059 520__ $$aThis book presents a number of approaches to Fine-Kinney-based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process. The book begins by giving a review of Fine-Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.
001432059 588__ $$aOnline resource; title from digital title page (viewed on October 26, 2020).
001432059 650_0 $$aRisk assessment$$xMathematical models.
001432059 650_0 $$aMultiple criteria decision making.
001432059 650_6 $$aÉvaluation du risque$$xModèles mathématiques.
001432059 650_6 $$aDécision multicritère.
001432059 655_0 $$aElectronic books.
001432059 77608 $$iPrint version:$$aGul, Muhammet, 1985-$$tFine-Kinney-based fuzzy multi-criteria occupational risk assessment.$$dCham, Switzerland : Springer, [2021]$$z3030521478$$z9783030521479$$w(OCoLC)1156994121
001432059 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 398.
001432059 852__ $$bebk
001432059 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-52148-6$$zOnline Access$$91397441.1
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001432059 980__ $$aBIB
001432059 980__ $$aEBOOK
001432059 982__ $$aEbook
001432059 983__ $$aOnline
001432059 994__ $$a92$$bISE