LEADER 03563nam 22005535 450 001 9910767516803321 005 20251113200341.0 010 $a3-031-43636-9 024 7 $a10.1007/978-3-031-43636-9 035 $a(MiAaPQ)EBC30985610 035 $a(Au-PeEL)EBL30985610 035 $a(OCoLC)1412623214 035 $a(CKB)29250255800041 035 $a(DE-He213)978-3-031-43636-9 035 $a(EXLCZ)9929250255800041 100 $a20231203d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiple Criteria Decision Making Methods with Multi-polar Fuzzy Information $eAlgorithms and Applications /$fby Muhammad Akram, Arooj Adeel 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (564 pages) 225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v430 311 08$aPrint version: Akram, Muhammad Multiple Criteria Decision Making Methods with Multi-Polar Fuzzy Information Cham : Springer,c2024 9783031436352 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making. 410 0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v430 606 $aComputational intelligence 606 $aOperations research 606 $aComputational Intelligence 606 $aOperations Research and Decision Theory 615 0$aComputational intelligence. 615 0$aOperations research. 615 14$aComputational Intelligence. 615 24$aOperations Research and Decision Theory. 676 $a511.322 700 $aAkram$b Muhammad$f1980-$01460665 702 $aAdeel$b Arooj 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767516803321 996 $aMultiple Criteria Decision Making Methods with Multi-Polar Fuzzy Information$93660554 997 $aUNINA