Paper Info
Title
Fuzzy truth values in option prioritization for preference elicitation in the Graph Model
Abstract
A methodology is developed to use the fuzzy truth values of preference statements for feasible states in an option prioritization technique in order to rank states within the framework of the Graph Model for Conflict Resolution. Option prioritization ranks states based on the truth values of preference statements, which are compositions of the decision makers' courses of actions joined by logical connectives, ordered lexicographically. Fuzzy truth values are represented as truth degrees; so they include binary truth values, “true” and “false”, as well as other possible truth intensities that are reasonable according to the specific circumstances. Consequently, the assumption of fuzzy truth values of preference statements provides more realistic preference ordering of feasible states. The methodology is applied to the Elmira groundwater contamination dispute, which took place in Elmira, Ontario, Canada, for eliciting the preferences of decision makers, to demonstrate the applicability of this technique.
Year
DOI
Venue
2012
10.1109/ICSMC.2012.6378264
Systems, Man, and Cybernetics
Keywords
Field
DocType
contamination,decision making,environmental factors,fuzzy set theory,graph theory,Elmira groundwater contamination,binary truth value,conflict resolution,fuzzy truth value,graph model,option prioritization,preference elicitation,preference statement,Fuzzy truth value,Graph Model,Option prioritization,Preference,Preference statement
Data mining,Preference elicitation,Logical connective,Computer science,Conflict resolution,Truth value,Fuzzy set,Artificial intelligence,Lexicographical order,Graph theory,Mathematical economics,Membership function,Machine learning
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4673-1712-2
1
PageRank 
References 
Authors
0.38
4
3
Name
Order
Citations
PageRank
Md. Abul Bashar140.84
D. Marc Kilgour2599.74
Keith W. Hipel313321.57