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Hybrid Soft Computing Models Applied to Graph Theory Your browser indicates if you've visited this linkhttps link springer com/book/10 1007/978-3-030-16020-3This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems Based on the authors' research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy Hybrid Soft Computing Models Applied to Graph Theory Your browser indicates if you've visited this linkhttps b-ok cc/book/5243495/c5f3abHybrid Soft Computing Models Applied to Graph Theory Muhammad Akram , Fariha Zafar This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems Hybrid Soft Computing Models Applied to Graph Theory Your browser indicates if you've visited this linkhttps springer com/gp/book/9783030160197This book describes a set of fuzzy graph-based models, offering basic tools to construct and apply them for solving different kind of complex and decision-making problems, including simulation of disease, best location problem, suitable path problem, object recognition, and more Hybrid soft computing models applied to graph theory Your browser indicates if you've visited this linkhttps worldcat org/title/hybrid-soft-computing-models-applied-to-graph-theory/oclc/1096326501Get this from a library! Hybrid soft computing models applied to graph theory [Muhammad Akram; Fariha Zafar] -- This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems Based on the authors research, Fuzzy Soft Graphs | SpringerLinkYour browser indicates if you've visited this linkhttps link springer com/chapter/10 1007/978-3-030-16020-3_4Cite this chapter as: Akram M , Zafar F (2020) Fuzzy Soft Graphs In: Hybrid Soft Computing Models Applied to Graph Theory Studies in Fuzziness and Soft Computing, vol 380 Soft Rough Neutrosophic Influence Graphs | SpringerLinkYour browser indicates if you've visited this linkhttps link springer com/chapter/10 1007/978-3-030-16020-3_8Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 380) Hybrid Soft Computing Models Applied to Graph Theory Studies in Fuzziness and Soft Computing, vol 380 Springer, Cham First Online 05 April 2019;Intuitionistic Fuzzy Rough Graphs | SpringerLinkYour browser indicates if you've visited this linkhttps link springer com/chapter/10 1007/978-3-030-16020-3_3Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 380) Hybrid Soft Computing Models Applied to Graph Theory Studies in Fuzziness and Soft Computing, vol 380 Springer, Cham First Online 05 April 2019;Rough Fuzzy Graphs | SpringerLinkYour browser indicates if you've visited this linkhttps link springer com/chapter/10 1007/978-3-030-16020-3_1Cite this chapter as: Akram M , Zafar F (2020) Rough Fuzzy Graphs In: Hybrid Soft Computing Models Applied to Graph Theory Studies in Fuzziness and Soft Computing, vol 380 dblp: Studies in Fuzziness and Soft ComputingYour browser indicates if you've visited this linkhttps dblp uni-trier de/db/series/sfsc/indexBibliographic content of Studies in Fuzziness and Soft Computing Lotfi A Zadeh, Ronald R Yager, Shahnaz N Shahbazova, Marek Z Reformat, Vladik Kreinovich: Recent Developments and the New Direction in Soft-Computing Foundations and Applications - Selected Papers from the 6th World Conference on Soft Computing, May 22-25, 2016, Berkeley, USA TermsVector searchYour browser indicates if you've visited this linkhttps b-ok cc/terms/?q=fuzzyenglish File: PDF, 83 56 MB 2 Hybrid Soft Computing Models Applied to Graph Theory Springer International Publishing Muhammad Akram, Fariha Zafar fuzzy 3720 soft 1933 rough 1634 Fuzzy Hybrid Computing in Construction Engineering and Management: Theory and Applications More results

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