A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

Article history: Received July 28, 2012 Accepted November 27, 2012 Available online December 1 2012 Today global warming is on the rise and the natural resources are getting consumed at a faster rate. Power consumption has increased many folds to cater the human need. Thus renewable energy resources are the only option available at this juncture. Wind energy is one of the renewable energy. Location selection for wind farm takes an important role on power generation. However, the location selection is a complex multicriteria problem due to the criteria factors which are conflicting in nature as well as uncertain. The process becomes more complex when a group of decision makers are involved in decision making. In the present study, a COPRAS (COmplex PRoportional ASsessment) based multi-criteria decision-making (MCDM) methodology is done under fuzzy environment with the help of multiple decision makers. More specifically, this study is aimed to focus the applicability of COPRAS-F as a strategic decision making tools to handle the group decision-making problems. © 2013 Growing Science Ltd. All rights reserved.

[1]  Valentinas Podvezko,et al.  The Comparative Analysis of MCDA Methods SAW and COPRAS , 2011 .

[2]  Walter Frost,et al.  Characteristics of the Wind , 2009 .

[3]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[4]  R. Biswas,et al.  Effect of different defuzzification methods in a fuzzy based load balancing application , 2011 .

[5]  David A. Spera,et al.  Wind turbine technology : fundamental concepts of wind turbine engineering , 1994 .

[6]  Jurgita Antucheviciene,et al.  Multiple criteria evaluation of rural building's regeneration alternatives , 2007 .

[7]  Morteza Yazdani,et al.  Risk Analysis of Critical Infrastructures Using Fuzzy Copras , 2011 .

[8]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[9]  Edmundas Kazimieras Zavadskas,et al.  A New Logarithmic Normalization Method in Games Theory , 2008, Informatica.

[10]  E. Zavadskas,et al.  Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method , 2007 .

[11]  Prasenjit Chatterjee,et al.  Materials selection using complex proportional assessment and evaluation of mixed data methods , 2011 .

[12]  Allan D. Shocker,et al.  Linear programming techniques for multidimensional analysis of preferences , 1973 .

[13]  Z. S. Xu,et al.  An overview of operators for aggregating information , 2003, Int. J. Intell. Syst..

[14]  Mukund Patel,et al.  Wind and Solar Power Systems , 1999 .

[15]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .

[16]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making: An Operations Research Approach , 1998 .

[17]  Edmundas Kazimieras Zavadskas,et al.  A new additive ratio assessment (ARAS) method in multicriteria decision‐making , 2010 .

[18]  Maghsoud Amiri,et al.  Group Decision Making Process for Supplier Selection with VIKOR under Fuzzy Circumstance Case Study: An Iranian Car Parts Supplier , 2011 .

[19]  Jiye Liang,et al.  Evaluation of the results of multi-attribute group decision-making with linguistic information , 2012 .

[20]  Bijan Sarkar,et al.  A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection , 2012 .

[21]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[22]  Alvydas Balezentis,et al.  MULTIMOORA-FG: A Multi-Objective Decision Making Method for Linguistic Reasoning with an Application to Personnel Selection , 2012, Informatica.

[23]  G. Tiwari,et al.  Renewable Energy Resources: Basic Principles and Applications , 2005 .

[24]  Caroline M. Eastman,et al.  Review: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[25]  Edmundas Kazimieras Zavadskas,et al.  Evaluating the life cycle of a building: A multivariant and multiple criteria approach , 2008 .

[26]  Jurgita Antucheviciene,et al.  Measuring Congruence of Ranking Results Applying Particular MCDM Methods , 2011, Informatica.

[27]  S. K. Goyal,et al.  A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty , 2011, Math. Comput. Model..

[28]  Edmundas Kazimieras Zavadskas,et al.  Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case , 2006 .

[29]  B. Roy.  Decision-aid and decision-making , 1990 .

[30]  Mukund Patel,et al.  Book Review: Wind and Solar Power Systems—Design, Analysis, and Operation , 2006 .