LEADER 03797nam 22005775 450 001 9911001783503321 005 20250501130211.0 010 $a3-031-88562-7 024 7 $a10.1007/978-3-031-88562-4 035 $a(CKB)38696403000041 035 $a(DE-He213)978-3-031-88562-4 035 $a(MiAaPQ)EBC32068870 035 $a(Au-PeEL)EBL32068870 035 $a(EXLCZ)9938696403000041 100 $a20250501d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications /$fby Bo Li, Zeshui Xu 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XI, 111 p. 46 illus., 36 illus. in color.) 225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v436 311 08$a3-031-88561-9 327 $a1 Introductio -- 2. Literature review -- 3. Probabilistic linguistic static two-sided matching method based on pairwise compared preference relationship -- 4. Multi-stage probabilistic linguistic matching method based on improved preference relationship consistency algorithm -- 5. Probabilistic linguistic two-sided matching with attribute weights complete unknown. 330 $aThis book tackles the intricacies of decision-making processes where alternatives stem from distinct, finite sets. Discover the cutting-edge in decision-making with our groundbreaking book on complex two-sided matching methods. Harnessing the power of probabilistic linguistic term sets, it introduces innovative methods that enhance matching efficiency and practicality. It addresses the pressing question of how to navigate and optimize in scenarios with multifaceted matching challenges, offering an exploration into the psychological perceptions of agents through consistency checks and pairwise comparisons. It delves into the unknowns of static matching with multiple attribute weights, extends its scope to multi-sided agent sets in complex matching, and introduces dynamic screening mechanisms to refine the matching process. This book is not just a theoretical exploration. It lays the groundwork for intelligent matching algorithms and group mechanisms, providing actionable insights for technical supply and demand allocation, emergency personnel dispatch, and multi-stage medical management scheme selection. The effectiveness of these methods is backed by comparative analyses and simulation experiments, proving their superiority in real-world applications. Embrace the future of decision-making with our book, a must-read for those seeking to master complex matching scenarios and unlock practical solutions. . 410 0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v436 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational linguistics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aComputational Linguistics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aComputational linguistics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputational Linguistics. 676 $a006.3 700 $aLi$b Bo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0645181 702 $aXu$b Zeshui$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911001783503321 996 $aProbabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications$94385164 997 $aUNINA