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020 _a9783030521486
_9978-3-030-52148-6
024 7 _a10.1007/978-3-030-52148-6
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aGul, Muhammet.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946820
245 1 0 _aFine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment
_h[electronic resource] :
_bApproaches, Case Studies and Python Applications /
_cby Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXV, 163 p. 30 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v398
505 0 _aFine–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.
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.
650 0 _aSecurity systems.
_931879
650 0 _aPython (Computer program language).
_96666
650 0 _aComputational intelligence.
_97716
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aPython.
_934340
650 2 4 _aComputational Intelligence.
_97716
700 1 _aMete, Suleyman.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946821
700 1 _aSerin, Faruk.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946822
700 1 _aCelik, Erkan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946823
710 2 _aSpringerLink (Online service)
_946824
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030521479
776 0 8 _iPrinted edition:
_z9783030521493
776 0 8 _iPrinted edition:
_z9783030521509
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v398
_946825
856 4 0 _uhttps://doi.org/10.1007/978-3-030-52148-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77924
_d77924