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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109382

    Title: A Generalized PROMETHEE III with Risk Preferences on Losses and Gains
    Authors: Shih, Hsu-Shih;Chang, Yu-Ting;Cheng, Chii-Pwu
    Keywords: PROMETHEE;Risk preference;S-shaped value function;Environmental evaluation;Sensitivity analysis
    Date: 2016
    Issue Date: 2017-01-17 11:23:22 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: This study aims to generalize the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) III model by introducing risk preferences of decision makers. The risk preferences are expressed by an S-shaped value function with gain and loss parts. This study then illustrates an environmental evaluation of waste treatment plants for waste electrical and electronic equipment (WEEE) in Taiwan. Sensitivity analysis and the rank test demonstrate that the proposed model is rather stable. The PROMETHEE methods have been involved in various applications, especially in environmental management. One core process of PROMETHEE is to establish a preference difference function with two types of thresholds. The range of the slope lines of the linear preference is within the interval of [0, 1]. Working from the concept of the prospect theory, we extend its S-shaped function to the interval range of [−1, 1] so as to express risk preferences
    that occur in two quadrants. This research assesses a project on 15 local WEEE treatment plants to promote their recycling capability and technology competitiveness. According to the five aspects, the performance measures of the plants are obtained from a field study. The proposed model has an advantage on rank invariance by changing the thresholds in our case with sensitivity analysis demonstrating the robustness of the model. The generalized PROMETHEE III
    with risk preferences indeed provides an extension for making a decision in an uncertain environment.
    Relation: International Journal of Information and Management Sciences 27 (2), pp.117-127
    DOI: 10.6186/IJIMS.2016.27.2.3
    Appears in Collections:[International Journal of Information and Management Sciences] v.27 n.2

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