MARC Record from Library of Congress

LEADER: 02782cam a22003014a 4500
001 2012005276
003 DLC
005 20130118083407.0
008 120312s2013 flua b 001 0 eng
010 $a 2012005276
020 $a9781420087505 (hardback)
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aT57.95$b.Z48 2013
082 00 $a302.3$223
084 $aTEC009000$aBUS049000$aMAT003000$2bisacsh
100 1 $aZhu, Jianjun.
245 10 $aTheory and approaches of unascertained group decision-making /$cJianjun Zhu.
260 $aBoca Raton :$bAuerbach Publications,$c2013.
300 $axiv, 244 p. :$bill. ;$c24 cm.
490 0 $aSystems evaluation, prediction, and decision-making series
520 $a"With the development of society and the great increase of knowledge and information, more and more decision-making problems involve a number of decision makers (DMs). The subjective preference of DMs reflects a particular analysis, thinking process, and cognitive activity of the decision-making problem. Because the uncertainty of the decision-making environment, DMs tend to express their preference with interval numbers, fuzzy numbers, and linguistic variables. As a result, several uncertain preference styles, such as judgment matrix, utility value, and preference ordering value of interval numbers, fuzzy numbers and linguistic term set are given by DMs. Owing to the many assessment factors involved in complex decision-making problems, the difference of preferences, and the impact of the internal and external environment, it is often difficult to aggregate information in the group decision-making process. The studies on group decision making are reviewed in Chapter 1. The consistency measuring and ranking methods of interval number reciprocal judgment matrix and interval number complementary judgment matrix are discussed in Chapter 2. An unascertained number preference and a three-point interval number preference are presented in Chapters and 4, and their consistency and developed ranking method of the alternatives are also defined. The linguistic preference is studied in Chapter 5, and two consistencies definitions have been put forward. The aggregating methods of several uncertain preferences are discussed in Chapter 6. The multistage aggregating model of uncertain preference is studied in Chapter 7. An aggregating model of multistage linguistic information based on TOPSIS is proposed in Chapter 8"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
650 0 $aDecision making.
650 0 $aSystem theory.
650 7 $aTECHNOLOGY & ENGINEERING / Engineering (General).$2bisacsh
650 7 $aBUSINESS & ECONOMICS / Operations Research.$2bisacsh
650 7 $aMATHEMATICS / Applied.$2bisacsh