Paper Info
Title
A goal-reference-point decision-making method based on normal cloud model and its application in distribution network planning evaluation
Abstract
Scientific experiments show that specific and difficult goals can lead to higher performance than do vague and simple goals. Therefore, we study a goal-reference-point decision-making method that considers multiple expert-reference-points and the difficulty grade in a single-stage decision-making problem. First, based on the prior information set, an optimization model is built to obtain the distance range between the attribute value and the goal-reference-point. Next, based on the principle of minimizing the distance between the attribute value and its difficulty grade, an optimization model is built to divide the difficulty grades into several distance ranges. Moreover, based on the principle of maximum entropy, an optimization model that considers the given difficulty grade is built to obtain the weights of experts. Afterward, the ranking values of alternatives are calculated according to the goal-reference-point and prospect theory. Finally, a real-world case of the distribution network planning evaluation and a method comparison illustrate the feasibility and validity of the proposed method.
Year
DOI
Venue
2021
10.1016/j.ins.2021.08.064
Information Sciences
Keywords
DocType
Volume
Goal-reference-point,Expert-reference-points,Difficulty grade,Distance range,Normal cloud model
Journal
577
ISSN
Citations 
PageRank 
0020-0255
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Wen Song145.13
Jian-Jun Zhu2203.87