000 03773nam a22005055i 4500
001 978-3-642-34895-2
003 DE-He213
005 20200421111206.0
007 cr nn 008mamaa
008 130125s2013 gw | s |||| 0|eng d
020 _a9783642348952
_9978-3-642-34895-2
024 7 _a10.1007/978-3-642-34895-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aAliev, Rafik Aziz.
_eauthor.
245 1 0 _aFundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions
_h[electronic resource] /
_cby Rafik Aziz Aliev.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVI, 324 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v293
505 0 _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.
520 _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.      .
650 0 _aEngineering.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aGame theory.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642348945
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v293
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-34895-2
912 _aZDB-2-ENG
942 _cEBK
999 _c54146
_d54146