03637nam a22004577a 4500001001500000003000900015005001700024007001500041008004100056020001800097024003500115050000900150072001600159072002300175082001400198100003200212245012100244264008200365300003400447336002600481337002600507338003600533347002400569490006300593505037800656520168701034650001702721650002502738650002102763650001702784650003202801650001702833650003202850650004002882650005602922710003402978773002003012776003603032830006303068856004803131sulb-eb0024412BD-SySUS20160413122438.0cr nn 008mamaa130125s2013 gw | s |||| 0|eng d a97836423489527 a10.1007/978-3-642-34895-22doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh04a006.32231 aAliev, Rafik Aziz.eauthor.10aFundamentals of the Fuzzy Logic-Based Generalized Theory of Decisionsh[electronic resource] /cby Rafik Aziz Aliev. 1aBerlin, Heidelberg :bSpringer Berlin Heidelberg :bImprint: Springer,c2013. aXVI, 324 p.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aStudies in Fuzziness and Soft Computing,x1434-9922 ;v2930 aFuzzy Sets and Fuzzy Logic -- Brief Review of Theories of Decision Making -- Uncertain Preferences and Imperfect information in Decision Making -- A Generalized Fuzzy Logic-Based Decision theory -- Extention to Behavioral Decision Making -- Decision Making on the Basis of Fuzzy Geometry -- Fuzzy Logic Based Generalized Theory of Stability -- Experiments and Applications. aEvery 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 human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere. . 0aEngineering. 0aOperations research. 0aDecision making. 0aGame theory. 0aComputational intelligence.14aEngineering.24aComputational Intelligence.24aOperation Research/Decision Theory.24aGame Theory, Economics, Social and Behav. Sciences.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9783642348945 0aStudies in Fuzziness and Soft Computing,x1434-9922 ;v29340uhttp://dx.doi.org/10.1007/978-3-642-34895-2