Human-Centric Decision-Making Models for Social Sciences

The 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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Guo, Peijun. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pedrycz, Witold. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Computational Intelligence, 502
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-39307-5
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 04553nam a22005295i 4500
001 978-3-642-39307-5
003 DE-He213
005 20200630071756.0
007 cr nn 008mamaa
008 131101s2014 gw | s |||| 0|eng d
020 |a 9783642393075  |9 978-3-642-39307-5 
024 7 |a 10.1007/978-3-642-39307-5  |2 doi 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Human-Centric Decision-Making Models for Social Sciences  |h [electronic resource] /  |c edited by Peijun Guo, Witold Pedrycz. 
250 |a 1st ed. 2014. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a VIII, 418 p. 79 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 502 
505 0 |a Decision 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 |a The 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 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 0 |a Social sciences. 
650 1 4 |a Computational Intelligence.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014 
650 2 4 |a Artificial Intelligence.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000 
650 2 4 |a Social Sciences, general.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/X00000 
700 1 |a Guo, Peijun.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pedrycz, Witold.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642393082 
776 0 8 |i Printed edition:  |z 9783642393068 
776 0 8 |i Printed edition:  |z 9783662510698 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 502 
856 4 0 |u https://doi.org/10.1007/978-3-642-39307-5 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)