| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 388260 | Expert Systems with Applications | 2012 | 7 Pages |
Selecting the best transportation investment project (TIP) is often a difficult task, since many social, environmental and economic criteria have to be considered simultaneously. Evaluating a set of different projects, especially the best set of alternatives, portfolios, is even more complex. Pursuing the goal of selecting the best TIP portfolio, we propose a fuzzy assessment method to aid the selection process of a multi-criterion project by utilizing the concept of entropy and interval normalization procedure in a fuzzy analytic hierarchy process (F-AHP). Then, regarding this informative phase, we propose a fuzzy linear programming model to select the best TIP portfolio under uncertain cost pressure. A real case study is conducted to illustrate the efficiency of the proposed method.
► Selecting the best transportation investment project (TIP) is often a difficult task, since many social, environmental and economic criteria have to be considered simultaneously. ► We examined the corresponding changes when 10 different circumstances were set by alpha and lambda. ► We propose a fuzzy assessment method to aid the selection process of a multi-criterion project by utilizing the concept of entropy and interval normalization procedure in a fuzzy analytic hierarchy process. ► This paper introduces a decision support model to select the best set of TIPs with a number of decision makers in an uncertain environment. ► The concept of entropy, firstly introduced by Shannon (1948), has played a major role in measuring uncertainty.
