A decision tree solution considering the decision maker's attitude

Authors:
Xinwang Liu;Qingli Da
Affiliations:
School of Economics and Management, Southeast University, Si Pai Lou 2, Nanjing 210096, Jiangsu, China;School of Economics and Management, Southeast University, Si Pai Lou 2, Nanjing 210096, Jiangsu, China
Venue:
Fuzzy Sets and Systems
Year:
2005

Citing 6
Cited 2

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Families of OWA operators

Fuzzy Sets and Systems
Analytic properties of maximum entropy OWA operators

Information Sciences—Informatics and Computer Science: An International Journal
Induced ordered weighted averaging operators

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy modeling for intelligent decision making under uncertainty

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hierarchical semi-numeric method for pairwise fuzzy group decision making

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Imperfect requirements in software development

REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
Analysis of the impact of attitudinal character on the multicriteria decision making with OWA operators

International Journal of Intelligent Systems

Quantified Score

Hi-index	0.20

Visualization

Abstract

We extend the expected monetary value (EMV) method of the decision tree to include the decision maker's preference information. Considering the decision maker's profit and risk attitude respectively, a decision tree method with ordered weighted average (OWA) aggregation operator is proposed. With given profit and risk optimistic level, the payoff values of the alternatives can be aggregated with geometric OWA operator and BADD (BAsic Defuzzification Distribution) neat OWA operator. Some properties of these two kinds of OWA operators are analyzed. And the process of the approach is shown by an illustrative example.