04477nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001700186072002300203072001600226245014200242250001800384264006900402300006600471336002600537337002600563338003600589347002400625505059200649520197701241650002903218650003903247650002603286650004903312650002903361650003903390650002603429650007503455700009303530700008803623710003403711773002603745776003603771776003603807776003603843856004603879912001403925912001503939999001703954978-3-031-48963-1DE-He21320251030111406.0cr nn 008mamaa240129s2024    sz |    s    |||| 0|eng d  a97830314896319978-3-031-48963-17 a10.1007/978-3-031-48963-12doi 4aQ325.5-.7 7aUYQM2bicssc 7aMAT0290002bisacsh 7aUYQM2thema10aFuzzy Cognitive Mapsh[electronic resource] :bBest Practices and Modern Methods /cedited by Philippe J. Giabbanelli, Gonzalo Nápoles.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 219 p. 57 illus., 55 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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. .  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. 0aMachine learning.955059 0aComputational intelligence.964052 0aKnowledge management. 0aNeural networks (Computer science) .96423114aMachine Learning.95505924aComputational Intelligence.96405224aKnowledge Management.24aMathematical Models of Cognitive Processes and Neural Networks.9658601 aGiabbanelli, Philippe J.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9700841 aNápoles, Gonzalo.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9700852 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303148962408iPrinted edition:z978303148964808iPrinted edition:z978303148965540uhttps://doi.org/10.1007/978-3-031-48963-1  aZDB-2-SMA  aZDB-2-SXMS  c57353d57353