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001449654 001__ 1449654
001449654 003__ OCoLC
001449654 005__ 20230310004411.0
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001449654 019__ $$a1344323782$$a1344541930
001449654 020__ $$a9789811914492$$q(electronic bk.)
001449654 020__ $$a9811914494$$q(electronic bk.)
001449654 020__ $$z9811914486
001449654 020__ $$z9789811914485
001449654 0247_ $$a10.1007/978-981-19-1449-2$$2doi
001449654 035__ $$aSP(OCoLC)1345254736
001449654 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dSFB$$dOCLCQ
001449654 049__ $$aISEA
001449654 050_4 $$aQA248.5
001449654 08204 $$a511.3/223$$223/eng/20220920
001449654 24500 $$aq-Rung orthopair fuzzy sets :$$btheory and applications /$$cHarish Garg, editor.
001449654 264_1 $$aSingapore :$$bSpringer,$$c2022.
001449654 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and color).
001449654 336__ $$atext$$btxt$$2rdacontent
001449654 337__ $$acomputer$$bc$$2rdamedia
001449654 338__ $$aonline resource$$bcr$$2rdacarrier
001449654 5050_ $$aq-rung orthopair fuzzy Supra Topological application in Data mining process -- q-Rung Orthopair Fuzzy Soft Topology with Multi-Attribute Decision-Making -- Decision-Making on Patients medical based on a q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation -- Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications -- TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions -- Knowledge Measure-based q-Rung Orthopair Fuzzy Inventory Model -- Higher Type q-rung Orthopair Fuzzy Sets: Interval Analysis -- Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data -- Supplier Selection Process Based on CODAS Method using q-Rung Orthopair Fuzzy Information -- Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information -- 3PL Service Provider Selection with Q Rung Orthopair Fuzzy Based CODAS Method -- An Integrated Proximity Indexed Value and Q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation -- Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment -- MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services -- Interval Complex q-rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle -- A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition -- Pentagonal q-Rung Orthopair Numbers and Their Applications -- q-Rung Orthopair Fuzzy Soft Sets Based Multi-Criteria Decision-Making -- Development of Heronian Mean Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making.
001449654 506__ $$aAccess limited to authorized users.
001449654 520__ $$aThis book collects chapters which discuss interdisciplinary solutions to complex problems by using different approaches in order to save money, time and resources. The book presents the results on the recent advancements in artificial intelligence, computational intelligence, decision-making problems, emerging problems and practical achievements in the broad knowledge management field. q-ROFS is one of the hot topics for all the researchers, industrialists as well as academicians. This book is of interest to professionals and researchers working in the field of decision making and computational intelligence, as well as postgraduate and undergraduate students studying applications of fuzzy sets. The book helps solve different kinds of the decision-making problems such as medical diagnosis, pattern recognition, construction problems and technology selection under the uncertain fuzzy environment. Containing 19 chapters, the book begins by giving a topology of the q-ROFSs and their applications. It then progresses in a logical fashion, dedicating a chapter to each approach, including the generalized information measures for q-ROFSs, implementation of q-ROFSs to medical diagnosis, inventory model, multi-attribute decision-making and approaches to real-life industrial problems such as green campus transportation, social responsibility evaluation pattern and extensions of the q-ROFSs.
001449654 588__ $$aDescription based on print version record.
001449654 650_0 $$aFuzzy sets.
001449654 650_0 $$aDecision making$$xMathematics.
001449654 655_0 $$aElectronic books.
001449654 655_7 $$aLlibres electrònics.$$2thub
001449654 7001_ $$aGarg, Harish,$$eeditor.
001449654 77608 $$iPrint version:$$tQ-RUNG ORTHOPAIR FUZZY SETS.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2022$$z9811914486$$w(OCoLC)1301899323
001449654 852__ $$bebk
001449654 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1449-2$$zOnline Access$$91397441.1
001449654 909CO $$ooai:library.usi.edu:1449654$$pGLOBAL_SET
001449654 980__ $$aBIB
001449654 980__ $$aEBOOK
001449654 982__ $$aEbook
001449654 983__ $$aOnline
001449654 994__ $$a92$$bISE