Title
Intelligent multi-criteria fuzzy group decision-making for situation assessments
Abstract
Organizational decisions and situation assessment are often made in groups, and decision and assessment processes involve various uncertain factors. To increase efficiently group decision-making, this study presents a new rational---political model as a systematic means of supporting group decision-making in an uncertain environment. The model takes advantage of both rational and political models and can handle inconsistent assessment, incomplete information and inaccurate opinions in deriving the best solution for the group decision under a sequential framework. The model particularly identifies three uncertain factors involved in a group decision-making process: decision makers' roles, preferences for alternatives, and judgments for assessment-criteria. Based on this model, an intelligent multi-criteria fuzzy group decision-making method is proposed to deal with the three uncertain factors described by linguistic terms. The proposed method uses general fuzzy numbers and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Inference rules are particularly introduced into the method for checking the consistence of individual preferences. Finally, a real case-study on a business situation assessment is illustrated by the proposed method.
Year
DOI
Venue
2008
10.1007/s00500-007-0197-4
Soft Comput.
Keywords
Field
DocType
multi-criteria decision-making,group decision,uncertain factor,situation assessments,assessment process,business situation assessment,fuzzy sets,political model,group decision-making · fuzzy sets · multi-criteria decision-making · situation assessments,group satisfactory decision,group decision-making process,group decision-making,intelligent multi-criteria fuzzy group,fuzzy number,decision maker,fuzzy set,inference rule,group decision making,situation assessment,incomplete information
Computer science,Situation analysis,Fuzzy set,Artificial intelligence,Fuzzy number,Fuzzy group decision making,Rule of inference,Software development,Machine learning,Complete information,Group decision-making
Journal
Volume
Issue
ISSN
12
3
1433-7479
Citations 
PageRank 
References 
31
1.44
15
Authors
3
Name
Order
Citations
PageRank
Jie Lu150741.17
Guangquan Zhang21973145.64
Da Ruan32008112.05