A multi-objective fuzzy project selection problem considering social responsibility and risk

被引:5
作者
Khalilzadeh, Mohammad [1 ]
Salehi, Kayvan [1 ]
机构
[1] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran
来源
CENTERIS 2017 - INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2017 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2017 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERI | 2017年 / 121卷
关键词
Project selection; social responsibility; weighted additive fuzzy programming; Fuzzy parameters; PORTFOLIO SELECTION; MODEL; PARAMETERS;
D O I
10.1016/j.procs.2017.11.085
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper present an extended multi-objective project selection (PS) problem with fuzzy parameters. The extended proposed fuzzy PS problem attempts to simultaneously maximize total project benefits and social responsibility, while total risk and total cost are minimized The social responsibility objective function is considered in this problem for the first time. Moreover, a number of constraints presenting real-world limitations such as logical and resource restrictions are taken into account. The extended model is classified as a fuzzy multi-objective integer programming model. First, the fuzzy parameters are converted to the crisp numbers. Then, a weighted additive fuzzy programming is applied to solve the model. A numerical example is given to illustrate the proposed model. Computational results show that this method is very promising and efficiently achieves quality results for PS problems. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:646 / 655
页数:10
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