Group multiple attribute decision making using a modified TOPSIS method in the presence of interval data
نویسندگان
1 Department of Mathematics, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran.
2 Department of Mathematics, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran.
3 Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
doi
10.24200/sci.2022.56712.4869چکیده
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a well-known technique in multiple criteria decision making and has found several applications in recent years. However, as mentioned in literature TOPSIS has several shortcomings. In this paper, we present an extension of TOPSIS method to determine the weight of Decision Makers (DMs) in Group Multiple Attribute Decision Making (GMADM) problems with interval information. Our method is based on the concept that the best alternative is closer to the Positive Ideal Solution (PIS) and far away from theNegative Ideal Solution (NIS), simultaneously. The contribution of the proposed method is that while it overcomes the shortcomings of the TOPSIS method it can be used to weight the decision making team and ranking the alternatives, as well. The method is illustrated through three examples.