Ranking Iran's Monopolistic Industry Based on Fuzzy TOPSIS Method

Authors: not saved
Abstract:

The aim of this paper is to identify the industrial markets coordinates with the help of Herfindahl–Hirschman concentration index, cost disadvantage ratio (CDR) index and Comanor and Wilson's economies of scale index (MES). The paper also attempts to recognize Iran's monopolistic industries through the Fuzzy TOPSIS method presented by Chen (2000) under triangular fuzzy membership function. Given the findings raised from three market structure components (HHI; CDR and MES) it is confirmed that the most monopolistic industries respectively include: Manufacturers of tobacco products, manufacturers of games and toys, manufacturers of industrial process control equipment and tanning and dressing of leather, manufacturers of luggage, handbags, saddlery and harness, dressing and dyeing of fur. The Entry barrier criterion has also had an essential role in expanding the monopolies in Iranian markets

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Developing Fuzzy TOPSIS Method based on

Ranking competing alternatives in terms of their overall performance with respect to some criterions in fuzzy environment is possible by the use of fuzzy TOPSIS methodology using interval-valued fuzzy-sets concepts. This author presents an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for prioritizing alter...

full text

Developing Fuzzy TOPSIS Method based on Interval-valued Fuzzy Sets

Ranking competing alternatives in terms of their overall performance with respect to some criterions in fuzzy environment is possible by the use of fuzzy TOPSIS methodology using interval-valued fuzzy-sets concepts. This author presents an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for prioritizing alter...

full text

Ranking fuzzy cognitive map based scenarios with TOPSIS

Most decision-making processes are dynamic. Critical decisions require multiple and interrelated time-constrained decisions within strongly uncertain and so complex scenarios. The proposed methodology (mixing Delphi, Fuzzy Cognitive Maps and TOPSIS) and is a step forward with regard to the classic tools used in scenarios-based decision-support. This proposal allows managing uncertainty for impr...

full text

A Fuzzy TOPSIS Method Based on Left and Right Scores

  Multiple criteria decision making (MCDM) problem is one of the famous different kinds of decision making problems. In more cases in real situations, determining the exact values for MCDM problems is difficult or impossible. So, the values of alternatives with respect to the criteria or / and the values of criteria weights, are considered as fuzzy values (fuzzy numbers). In such conditions, th...

full text

Ranking of the Solutions of Reducing Electrical Energy Consumption in Isfahan Sepahan Cement Industry by Using Fuzzy TOPSIS Method

Nowadays, energy consumption management is a vital strategy for societies to optimize energy consumption. Considering the widespread functions of electrical energy in human lives,a high proportion of consumption management procedures deals with the management of electrical energy consumption. It is important to study the state of electrical energy and provide managerial and optimal management s...

full text

Ranking of the Solutions of Reducing Electrical Energy Consumption in Isfahan Sepahan Cement Industry by Using Fuzzy TOPSIS Method

Nowadays, energy consumption management is a vital strategy for societies to optimize energy consumption. Considering the widespread functions of electrical energy in human lives,a high proportion of consumption management procedures deals with the management of electrical energy consumption. It is important to study the state of electrical energy and provide managerial and optimal management s...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 2  issue 1

pages  103- 122

publication date 2013-06-21

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023