Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)
Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Get and download textbook Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing) for free
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Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes's analysis of uncertainty. There is a need for further generalization - a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions new edition
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author rafik aziz aliev format hardback language english publication year 12 01 2013 series studies in fuzziness and soft computing subject mathematics sciences subject 2 mathematics title fundamentals of the fuzzy logic based generalized theory of decisions author aliev rafik publisher springer verlag new york inc publication date feb 28 2013 pages 332 binding hardcover edition 2013 dimensions 6 50 wx 9 75 hx 1 00 d isbn 3642348947 subject computers artificial intelligence brand new hardcover
Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keyness analysis of uncertainty. There is a need for further generalization a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-c
Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes's analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for hu
Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions Textbook
Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes's analysis of uncertainty. There is a need for further generalization - a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information
ain drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes's analysis of uncertainty. There is a need for further generalization - a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information.
