Format

Send to

Choose Destination
Waste Manag. 2015 Jun;40:127-35. doi: 10.1016/j.wasman.2015.02.035. Epub 2015 Mar 21.

Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty.

Author information

1
School of Engineering & Technology, CQUniversity, Melbourne, Australia. Electronic address: s.wibowo1@cqu.edu.au.
2
School of Business IT & Logistics, RMIT University, Melbourne, Australia; School of Information Resources Management, Renmin University, Beijing, China. Electronic address: hepu.deng@rmit.edu.au.

Abstract

This paper presents a multi-criteria group decision making approach for effectively evaluating the performance of e-waste recycling programs under uncertainty in an organization. Intuitionistic fuzzy numbers are used for adequately representing the subjective and imprecise assessments of the decision makers in evaluating the relative importance of evaluation criteria and the performance of individual e-waste recycling programs with respect to individual criteria in a given situation. An interactive fuzzy multi-criteria decision making algorithm is developed for facilitating consensus building in a group decision making environment to ensure that all the interest of individual decision makers have been appropriately considered in evaluating alternative e-waste recycling programs with respect to their corporate sustainability performance. The developed algorithm is then incorporated into a multi-criteria decision support system for making the overall performance evaluation process effectively and simple to use. Such a multi-criteria decision making system adequately provides organizations with a proactive mechanism for incorporating the concept of corporate sustainability into their regular planning decisions and business practices. An example is presented for demonstrating the applicability of the proposed approach in evaluating the performance of e-waste recycling programs in organizations.

KEYWORDS:

E-waste recycling programs; Group decision making; Intuitionistic fuzzy numbers; Multi-criteria analysis; Performance evaluation

PMID:
25804333
DOI:
10.1016/j.wasman.2015.02.035
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center