LEADER 04863nam 22006855 450 001 9910806193303321 005 20260223091730.0 010 $a9783031489631 010 $a3031489632 024 7 $a10.1007/978-3-031-48963-1 035 $a(MiAaPQ)EBC31095949 035 $a(Au-PeEL)EBL31095949 035 $a(CKB)30157282500041 035 $a(DE-He213)978-3-031-48963-1 035 $a(OCoLC)1420870191 035 $a(EXLCZ)9930157282500041 100 $a20240129d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Cognitive Maps $eBest Practices and Modern Methods /$fedited by Philippe J. Giabbanelli, Gonzalo Nápoles 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (228 pages) 311 08$aPrint version: Giabbanelli, Philippe J. Fuzzy Cognitive Maps Cham : Springer International Publishing AG,c2024 9783031489624 327 $a1. Fuzzy Cognitive Maps: Best Practices and Modern Methods -- 2. Creating an FCM with participants in an interview or workshop setting -- 3. Principles of simulations with FCMs -- 4. Hybrid Simulations -- 5. Analysis of Fuzzy Cognitive Maps -- 6. Extensions of Fuzzy Cognitive Maps -- 7. Creating FCM models from quantitative data with evolutionary algorithms -- 8. Advanced learning algorithm to create FCM models from quantitative data -- 9. Introduction to Fuzzy Cognitive Map-based classification -- 10. Addressing accuracy issues of Fuzzy Cognitive Map-based classifiers -- Index. . 330 $aThis book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper. Fuzzy cognitive mapping is an active research field with over 20,000 publications devoted to externalizing the qualitative perspectives or ?mental models? of individuals and groups. Since the emergence of fuzzy cognitive maps (FCMs) back in the 80s, new algorithms have been developed to reduce bias, facilitate the externalization process, or efficiently utilize quantitative data via machine learning. It covers the development of an FCM with participants through a traditional in-person setting, drawing from the experience of practitioners and highlighting solutions to commonly encountered challenges. The book continues with introducing principles of simulations with FCMs as a tool to perform what-if scenario analysis, while extending those principles to more elaborated simulation scenarios where FCMs and agent-based modeling are combined. Once an FCM model is obtained, the book then details the analytical tools available for practitioners (e.g., to identify the most important factors) and provides examples to aid in the interpretation of results. The discussion concerning relevant extensions is equally pertinent, which are devoted to increasing the expressiveness of the FCM formalism in problems involving uncertainty. The last four chapters focus on building FCM models from historical data. These models are typically needed when facing multi-output prediction or pattern classification problems. In that regard, the book smoothly guides the reader from simple approaches to more elaborated algorithms, symbolizing the noticeable progress of this field in the last 35 years. Problems, recent references, and functional codes are included in each chapter to provide practice and support further learning from practitioners and researchers. 606 $aMachine learning 606 $aComputational intelligence 606 $aKnowledge management 606 $aNeural networks (Computer science) 606 $aMachine Learning 606 $aComputational Intelligence 606 $aKnowledge Management 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aSistemes borrosos$2thub 606 $aIntel·ligència computacional$2thub 608 $aLlibres electrònics$2thub 615 0$aMachine learning. 615 0$aComputational intelligence. 615 0$aKnowledge management. 615 0$aNeural networks (Computer science) 615 14$aMachine Learning. 615 24$aComputational Intelligence. 615 24$aKnowledge Management. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 7$aSistemes borrosos 615 7$aIntel·ligència computacional 676 $a006.31 700 $aGiabbanelli$b Philippe J$01297607 701 $aNápoles$b Gonzalo$01591963 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910806193303321 996 $aFuzzy Cognitive Maps$93907838 997 $aUNINA