𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy modeling for environmental pollution potential ranking of industries

✍ Scribed by Lad, Ravindra K. ;Desai, Nisha G. ;Christian, Robin A. ;Deshpande, Ashok W.


Publisher
American Institute of Chemical Engineers
Year
2008
Tongue
English
Weight
145 KB
Volume
27
Category
Article
ISSN
0278-4491

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Urbanization and industrialization with minimal focus on environmental pollution has resulted in rapid degradation of natural environment demanding a fresh look at the pollution control strategies. An attempt has been made to address the problem, and a viable procedure for ranking of industries based on their environmental pollution potential has been proposed. Vagueness in the perception of environmental experts for ranking the techno‐scientific parameters in linguistic terms for the specific usage coupled with imprecision in parametric data calls for the application of fuzzy modeling in this study. The formalized approach detailed in this article using fuzzy multicriteria decision making for ranking the industries is one of the important techniques in decision research. The case study discussed in this article relates to three dying and printing textile industries located in Surat, in the State of Gujarat, India. The feasibility of the proposed approach for ranking of the industries has been discussed. The approach detailed in this sequel might be considered as a small step in the formulation of appropriate environmental pollution control strategies. A commentary on pollution tax, stringent emission standards, and its effect on the ranking of industries with further research needs form an integral part of the article. Β© 2008 American Institute of Chemical Engineers Environ Prog, 2008


πŸ“œ SIMILAR VOLUMES


A fuzzy preference-ranking model for a q
✍ R. Ufuk Bilsel; GΓΌlΓ§in BΓΌyΓΌkΓΆzkan; Da Ruan πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 342 KB πŸ‘ 2 views

This article presents a quality evaluation model for measuring the performance of hospital Web sites. The model is developed on the basis of a conceptual framework, which consists of seven major e-service quality dimensions, including tangibles, reliability, responsiveness, confidence, empathy, qual