001484553 000__ 03654nam\\2200553\i\4500
001484553 001__ 1484553
001484553 003__ OCoLC
001484553 005__ 20240117003328.0
001484553 006__ m\\\\\o\\d\\\\\\\\
001484553 007__ cr\cn\nnnunnun
001484553 008__ 231206s2023\\\\sz\a\\\\ob\\\\001\0\eng\d
001484553 020__ $$a9783031436369$$q(electronic bk.)
001484553 020__ $$a3031436369$$q(electronic bk.)
001484553 020__ $$z9783031436352
001484553 0247_ $$a10.1007/978-3-031-43636-9$$2doi
001484553 035__ $$aSP(OCoLC)1412010910
001484553 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO
001484553 049__ $$aISEA
001484553 050_4 $$aQA248.5
001484553 08204 $$a511.3/223$$223/eng/20231206
001484553 1001_ $$aAkram, Muhammad,$$eauthor.
001484553 24510 $$aMultiple criteria decision making methods with multi-polar fuzzy information :$$balgorithms and applications /$$cMuhammad Akram, Arooj Adeel.
001484553 264_1 $$aCham :$$bSpringer,$$c[2023]
001484553 264_4 $$c©2023
001484553 300__ $$a1 online resource (xxxiv, 540 pages) :$$billustrations (some color).
001484553 336__ $$atext$$btxt$$2rdacontent
001484553 337__ $$acomputer$$bc$$2rdamedia
001484553 338__ $$aonline resource$$bcr$$2rdacarrier
001484553 4901_ $$aStudies in fuzziness and soft computing,$$x1860-0808 ;$$vvolume 430
001484553 504__ $$aIncludes bibliographical references and index.
001484553 5050_ $$a1. Hybrid Multi-polar Fuzzy Models -- 2. TOPSIS and ELECTRE-I Methods under Multi-polar Fuzzy Linguistic Sets -- 3. Introducing Hesitancy: TOPSIS and ELECTRE-I Models -- 4. Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets -- 5. Enhanced ELECTRE III Method with Multi-polar Fuzzy Sets.
001484553 506__ $$aAccess limited to authorized users.
001484553 520__ $$aThis book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.
001484553 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 6, 2023).
001484553 650_6 $$aEnsembles flous.
001484553 650_6 $$aDécision multicritère.
001484553 650_0 $$aFuzzy sets.
001484553 650_0 $$aMultiple criteria decision making.$$0(DLC)sh 89005914
001484553 655_0 $$aElectronic books.
001484553 7001_ $$aAdeel, Arooj,$$eauthor.
001484553 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 430.$$x1860-0808
001484553 852__ $$bebk
001484553 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-43636-9$$zOnline Access$$91397441.1
001484553 909CO $$ooai:library.usi.edu:1484553$$pGLOBAL_SET
001484553 980__ $$aBIB
001484553 980__ $$aEBOOK
001484553 982__ $$aEbook
001484553 983__ $$aOnline
001484553 994__ $$a92$$bISE