000 04108nam a22005055i 4500
001 978-3-642-39307-5
003 DE-He213
005 20200421112556.0
007 cr nn 008mamaa
008 131101s2014 gw | s |||| 0|eng d
020 _a9783642393075
_9978-3-642-39307-5
024 7 _a10.1007/978-3-642-39307-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aHuman-Centric Decision-Making Models for Social Sciences
_h[electronic resource] /
_cedited by Peijun Guo, Witold Pedrycz.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aVIII, 418 p. 79 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v502
505 0 _aDecision making in the environment of heterogeneous uncertainty -- One-Shot Decision Theory: A Fundamental Alternative for Decision under Uncertainty -- On the Influence of Emotion on Decision Making: The Case of Charitable Giving -- Decision Theory and Rules of Thumb -- Aggregating Imprecise Linguistic Expressions -- Risk Perception and Ambiguity in a Quantile Cumulative Prospect Theory -- Effective Decision Making in Changeable Spaces, Covering and Discovering Processes: A Habitual Domain Approach -- Decision Making under Interval Uncertainty (and Beyond) -- Dealing with imprecision in consumer theory: A new approach to Fuzzy Utility Theory -- Decision making under Z-information -- Approximations of one-dimensional expected utility integral of alternatives described with linearly-interpolated p-boxes -- Human-Centric Cognitive Decision Support System for Ill-Structured Problems.
520 _aThe volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on  comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-making. The volume, self-contained in its nature, offers a systematic exposure to the concepts, design methodologies, and detailed algorithms. A prudent balance between the theoretical studies and applications makes the material suitable for researchers and graduate students in information, computer sciences, psychology, cognitive science, economics, system engineering, operation research and management science, risk management, public and social policy.      .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aSocial sciences.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSocial Sciences, general.
700 1 _aGuo, Peijun.
_eeditor.
700 1 _aPedrycz, Witold.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642393068
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v502
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39307-5
912 _aZDB-2-ENG
942 _cEBK
999 _c59181
_d59181