Hybrid Multicriteria Group Decision Making Method for Information System Project Selection Based on Intuitionistic Fuzzy Theory

Abstract EN

Information system (IS) project selection is of critical importance to every organization in dynamic competing environment.

The aim of this paper is to develop a hybrid multicriteria group decision making approach based on intuitionistic fuzzy theory for IS project selection.

The decision makers’ assessment information can be expressed in the form of real numbers, interval-valued numbers, linguistic variables, and intuitionistic fuzzy numbers (IFNs).

All these evaluation pieces of information can be transformed to the form of IFNs.

Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers into a group opinion.

Intuitionistic fuzzy entropy is used to obtain the entropy weights of the criteria.

TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate IS project in group decision making environment.

Finally, a numerical example for information system projects selection is given to illustrate application of hybrid multi-criteria group decision making (MCGDM) method based on intuitionistic fuzzy theory and TOPSIS method.