Multi-Criteria Decision Analysis Methods Comparison

Abstract Multi-criteria decision analysis (MCDA) is widely used to solve various decision problems through alternative evaluation. MCDA methods can be used in every field that can define a problem, alternatives and criteria. However, finding the appropriate method can influence the results, in this research five MCDA methods have been tested on the renewable energy sector in Latvia to find the best alternative. The main results showed that TOPSIS, VIKOR and PROMETHEE-GAIA have similar priority selection and the highest ranking was selected for hydropower plant, but MULTIMOORA and COPRAS results were beneficial to Solar PV.

[1]  Prasun Chakraborti,et al.  Exploration of PROMETHEE II and VIKOR methodology in a MCDM approach for ascertaining the optimal performance-emission trade-off vantage in a hydrogen-biohol dual fuel endeavour , 2017 .

[2]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[3]  D. Blumberga,et al.  Progress in Renewable Energy Technologies: Innovation Potential in Latvia , 2019, Environmental and Climate Technologies.

[4]  E. Çaliskan,et al.  Assessment of development regions for financial support allocation with fuzzy decision making: A case of Turkey , 2019, Socio-Economic Planning Sciences.

[5]  M. Sayadi,et al.  Extension of VIKOR method for decision making problem with interval numbers , 2009 .

[6]  B. Sennaroglu,et al.  A military airport location selection by AHP integrated PROMETHEE and VIKOR methods , 2018 .

[7]  T. Nuuter,et al.  Comparison of Housing Market Sustainability in European Countries Based on Multiple Criteria Assessment , 2015 .

[8]  Thomas Elmqvist,et al.  Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA) , 2016 .

[9]  Selecting the optimal industrial investment by multi-criteria decision-making methods with emphasis on, TOPSIS, VIKOR, and COPRAS (case study of Guilan province) , 2019 .

[10]  Olabisi Falowo,et al.  A multimoora approach to access network selection process in heterogeneous wireless networks , 2015, AFRICON 2015.

[11]  B. Berg Comparison of Lifecycle Greenhouse Gas Emissions of Various Electricity Generation Sources , 2010 .

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

[13]  José Eugenio Leal,et al.  AHP-express: A simplified version of the analytical hierarchy process method , 2019, MethodsX.

[14]  T. Saaty,et al.  Why the magic number seven plus or minus two , 2003 .

[15]  S. Chakraborty,et al.  Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection , 2012 .

[16]  Zhichao Wang,et al.  An extended MULTIMOORA method based on OWGA operator and Choquet integral for risk prioritization identification of failure modes , 2020, Eng. Appl. Artif. Intell..

[17]  Alessio Ishizaka,et al.  Multi-criteria decision analysis , 2013 .

[18]  Morteza Yazdani,et al.  A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS , 2015 .

[19]  Riyanarto Sarno,et al.  Comparison Of MOORA and COPRAS Methods Based on Geographic Information System For Determining Potential Zone of Pasir Batu Mining , 2019, 2019 International Conference on Information and Communications Technology (ICOIACT).

[20]  M. M. Kablan,et al.  Decision support for energy conservation promotion:: an analytic hierarchy process approach , 2004 .

[21]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[22]  Mohammad Kazem Sayadi,et al.  Extension of MULTIMOORA method with interval numbers: An application in materials selection , 2016 .

[23]  Ashkan Hafezalkotob,et al.  Interval target-based VIKOR method supported on interval distance and preference degree for machine selection , 2018, Eng. Appl. Artif. Intell..

[24]  Rakesh Garg,et al.  Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA , 2017 .