Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia

Renewable Energy

Volumn 103, Issue , 2017, Pages 501-521

  Gigović, Ljubomir ^a   Pamučar, Dragan ^a   Božanić, Darko ^a   Ljubojević, Srđan ^a  

^a University of Defence in Belgrade   (Serbia)

Author keywords

ANP; DEMATEL; GIS; Location; Location selection; MABAC; Wind farms

Indexed keywords

DECISION MAKING; ELECTRIC UTILITIES; ENERGY RESOURCES; GEOGRAPHIC INFORMATION SYSTEMS; PLANNING; PUBLIC ADMINISTRATION; RENEWABLE ENERGY RESOURCES; SENSITIVITY ANALYSIS; WIND POWER;

ANALYTIC NETWORK PROCESS; DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DEMATEL; LOCATION SELECTION; MABAC; MULTI-CRITERIA DECISION ANALYSIS; SOCIAL AND ENVIRONMENTAL; WIND FARM;

LOCATION;

DECISION MAKING; ENERGY PLANNING; ENERGY POLICY; ENERGY RESOURCE; GIS; INSTALLATION; NUMERICAL MODEL; PUBLIC ADMINISTRATION; RENEWABLE RESOURCE; SENSITIVITY ANALYSIS; SITE SELECTION; VILLAGE; WIND FARM; WIND POWER;

SERBIA; VOJVODINA;

EID: 85000956443     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.11.057     Document Type: Article

References (111)

1. [1] Amer, M., Daim, T.U., Selection of renewable energy technologies for a developing county: a case of Pakistan. Energy Sustain. Dev. 15 (2011), 420–435.
2. [2] International Energy Agency (IEA), Key World Energy Statistics, 2014. 2015 http://www.iea.org/publications/freepublications/publication/keyworld2014.pdf (Accessed 25 August 15).
3. 2 as carbon source based on reversewater-gas shift and fischer-tropsch synthesis. Chem. Ing. Tech. 85 (2013), 489–499.
4. [4] Lee, A.H.I., Lin, C.Y., Kang, H.Y., Lee, W.H., An integrated performance evaluation model for the photovoltaics industry. Energies 5 (2012), 1271–1291.
5. [5] Panwar, N.L., Kaushik, S.C., Kothari, S., Role of renewable energy sources in environmental protection: a review. Renew. Sustain Energy Rev. 15 (2011), 1513–1524.
6. [6] European Commission (EC), Renewable energy road map. Renewable energies in the 21st century: building a more sustainable future. Commun Comm Counc Eur Parliam 2007, 2012 http://ec.europa.eu/transparency/regdoc/rep/1/2006/EN/1-2006-848-EN-F1-1.Pdf (Accessed 17 August 12).
7. [7] European Union, Directive 2009/28/EC of the European parliament and of the council of 23 April 2009 on the promotion of the use of energy from renewable sources and amending and subsequently repealing Directives 2001/77/EC and 2003/30/EC 2009. http://iet.jrc.ec.europa.eu/remea/directive-200928ec-european-parliament-and-council-23-april-2009-promotion-use-energy-renewable, 2014 (Accessed 18 June 14).
8. [8] Energy Community (EC), Decision of the Ministerial Council of the Energy Community. 2015, Energy Community Annex 18, Ref.: 10th MC/18/10/2012/-Annex18.09.07.2012, 2012 http://www.energy-community.org/pls/portal/docs/1766219.PDF (Accessed 10 June 15).
9. [9] Official Gazette of the Republic of Serbia 99/09, Regulation on Incentives for the Production of Electricity Using Renewable Energy Sources and Combined Production of Electrical and Heating Energy, Belgrade. 2009.
10. [10] Official Gazette of the Republic of Serbia 72/09, Regulation on the Conditions for Obtaining the Status of Privileged Power Producer and Criteria for Assessing the Fulfillment of These Conditions, Belgrade. 2009.
11. [11] Ministry of Energy, Development and Environmental Protection Republic of Serbia. National renewable energy action plan of the Republic of Serbia (In accordance with the template foreseen in the Directive 2008/29/EC- Decision 2009/548/EC), 2013. (Accessed 19 March 15) https://www.energy-community.org/portal/page/portal/ENC_HOME/DOCS/2144185/NREAP_OF_REPUBLIC_OF_SERBIA_28_June_2013.pdf, 2015.
12. [12] Zhao, P., Wang, J., Xia, J., Dai, Y., Sheng, Y., Yue, J., Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China. Renew. Energy 43 (2012), 234–241.
13. [13] Aydin, N.Y., Kentel, E., Duzgun, S., GIS-based environmental assessment of wind energy systems for spatial planning: a case study from Western Turkey. Renew. Sustain Energy Rev. 14 (2010), 364–373.
14. [14] Tegou, L.I., Polatidis, H., Haralambopoulos, D.A., Environmental management framework for wind farm siting: methodology and case study. J. Environ. Manag. 91 (2010), 2134–2147.
15. [15] Nadai, A., Planning ‘Siting’ and the local acceptance of wind power: some lessons from the French case. Energy Policy 35 (2007), 2715–2726.
16. [16] Wolsink, M., Near-shore wind powerdprotected seascapes, environmentalists’ attitudes, and the technocratic planning perspective. Land Use Policy 27 (2010), 195–203.
17. [17] Miller, A., Ruopu, L., A geospatial approach for prioritizing wind farm development in Northeast Nebraska, USA. ISPRS Int. J. Geo-Inf 3 (2014), 968–979.
18. [18] Yeh, T.M., Huang, Y.L., Factors in determining wind farm location: integrating GQM, fuzzy DEMATEL, and ANP. Renew. Energy 66 (2014), 159–169.
19. [19] Douglas, N.G., Saluja, G.S., Wing energy development under the UK non-fossil fuel and renewables obligations. Renew. Energy 6 (1995), 701–711.
20. [20] Hansen, H., GIS-based Multi-criteria Analysis of Wind Farm Development. 10th Scandinavian Research Conference on Geographical Information Science (ScanGIS). 2005, 75–85.
21. [21] Joerin, F., Thériault, M., Musy, A., Using GIS and outranking multicriteria analysis for land-use suitability assessment. Int. J. Geogr. Inf. Sci. 15 (2001), 153–174.
22. [22] Gourgiotis, A., Kyriazopoulos, E., Electrical energy production from wind turbine Parks: the Finistere wind turbine Chart (France) and the greek spatial planning experience (in greek). Interdisciplinary Congress on Education, Research, Technology. From Yesterday till Tomorrow, 2007, 27–30.
23. [23] Malczewski, J., Review article GIS-based multicriteria decision analysis: a survey of the literature. Int. J. Geograp. Inf. Sci. 20 (2006), 703–726.
24. [24] Allahi, S., Mobin, M., Vafadarnikjoo, A., Salmon, C., An integrated AHP-GIS-MCLP method to locate bank branches. Proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC2015), Tennessee, USA, 2015.
25. [25] Latinopoulos, D., Kechagia, K., A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application cin Greece. Renew. Energy 78 (2015), 550–560.
26. [26] Gorsevski, P.V., Cathcart, S.C., Mirzaei, G., Jamali, M.M., Ye, X., Gomezdelcampo, E., A group-based spatial decision support system for wind farm site selection in northwest Ohio. Energy Policy 55 (2013), 374–385.
27. [27] Haaren, R., Fthenakis, V., GIS-based wind farm site selection using spatial multicriteria analysis (SMCA): evaluating the case for New York State. Renew. Sustain Energy Rev. 15 (2011), 3332–3340.
28. [28] Kim, J.Y., Oh, K.Y., Kang, K.S., Lee, J.S., Site selection of offshore wind farms around the Korean Peninsula through economic evaluation. Renew. Energy 54 (2013), 189–195.
29. [29] Szurek, M., Blachowski, J.A., Gis-based method for wind farm location multi-criteria analysis Received. Min. Sci. 21 (2014), 65–81.
30. [30] Mekonnen, A.D., Gorsevski, P.V., A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio. Renew. Sustain. Energy Rev. 41 (2015), 162–177.
31. [31] Al-Yahyai, S., Charabi, Y., Gastli, A., Al-Badi, A., Wind farm land suitability indexing using multi-criteria analysis. Renew. Energy 44 (2012), 80–87.
32. [32] Watson, J.J.W., Hudson, M.D., Regional Scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landsc. Urban Plan. 138 (2015), 20–31.
33. [33] Tsoutsos, T., Tsitoura, I., Kokologos, D., Kalaitzakis, K., Sustainable siting process in large wind farms case study in Crete. Renew. Energy 75 (2015), 474–480.
34. [34] Bagocius, V., Zavadskas, E.K., Turskis, Z., Multi-person selection of the best wind turbine based on the multi-criteria integrated additive-multiplicative utility function. J. Civ. Eng. Manag. 20 (2014), 590–599.
35. [35] Azizi, A., Malekmohammadi, H.R., Jafari, H., Nasiri, V.A., Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province. Iran. Environ. Monit. Assess. 186 (2014), 6695–6709.
36. [36] Mevlut, U., GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey. Renew. Sustain. Energy Rev. 28 (2013), 11–17.
37. [37] Janke, J.R., Multicriteria GIS modeling of wind and solar farms in Colorado. Renew. Energy 35 (2010), 2228–2234.
38. [38] Dagdougui, H., Ouammi, A., Sacile, R., A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources. Int. J. Hydrogen Energy 36 (2011), 14324–14334.
39. [39] Charabi, Y., Gastli, A., PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation. Renew. Energy 36 (2011), 2554–2561.
40. [40] Nguyen, H.T., Pearce, J.M., Estimating potential photovoltaic yield with r.sun and the open source geographical resources analysis support system. Sol. Energy 84 (2010), 831–843.
41. [41] Sánchez-Lozano, J.M., Teruel-Solano, J., Soto-Elvira, P.L., Socorro García-Cascales, M., Geographical information systems (GIS) and multi-criteria decision making (MCDM) methods for the evaluation of solar farms locations: case study in south-eastern Spain. Renew. Sustain Energy Rev. 24 (2013), 544–556.
42. [42] Dalalah, D., Hayajneh, M., Batieha, F., A fuzzy multi-criteria decision making model for supplier selection. Expert Syst. Appl. 38 (2011), 8384–8391.
43. [43] Hsu, C.H., Wang, F.K., Tzeng, G.H., The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR. Resources. Conserv. Recycl. 66 (2012), 95–111.
44. [44] Hsu, C.C., Liou, J.J., Chuang, Y.C., Integrating DANP and modified grey relation theory for the selection of an outsourcing provider. Expert Syst. Appl. 40:6 (2013), 2297–2304.
45. [45] Chiu, W.Y., Tzeng, G.H., Li, H.L., A new hybrid MCDM model combining DANP with VIKOR to improve e-store business. Knowledge-Based Syst. 37 (2013), 48–61.
46. [46] Gigović, L.J., Pamučar, D., Lukić, D., Marković, S., Application of the GIS - fuzzy DEMATEL MCDA model for ecotourism development site evaluation: a case study of “Dunavski ključ”, Serbia. Land Use Policy 58 (2016), 348–365.
47. [47] Gigović, L.J., Pamučar, D., Bajić, Z., Milićević, M., The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8, 2016, 372.
48. [48] Büyüközkan, G., Güleryü, S., An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey. Int. J. Prod. Econ. 182 (2016), 435–448.
49. [49] Gölcük, I., Baykasoğlu, A., An analysis of DEMATEL approaches for criteria interaction handling within ANP. Expert Syst. Appl. 46 (2016), 346–366.
50. [50] Hsu, C.C., Liou, J.J.H., Chuang, Y.C., Integrating DANP and modified grey relation theory for the selection of an outsourcing provider. Expert Syst. Appl. 40:6 (2013), 2297–2304.
51. [51] Sharifi, M.A., Retsios, V., Site selection for waste disposal through spatial multiple criteria decision analysis. J. Telecommun. Inf. Technol. 3 (2004), 28–38.
52. [52] Malczewski, J., GIS and Multicriteria Decision Analysis. 1999, John Wiley and Sons, New York, 392.
53. [53] Geneletti, D., Beinat, E., Chung, C.J., Fabbri, A.G., Scholten, H.J., Accounting for uncertainty factors in biodiversity impact assessment: lessons from a case study. Environ. Impact Assess. Rev. 23 (2003), 471–487.
54. [54] Gamboa, G., Munda, G., The problem of wind farm location: a social multicriteria evaluation framework. Energy Policy 35 (2007), 1564–1583.
55. [55] Baban, S., Parry, T., Developing and applying a GIS-based approach to locating wind farms in the UK. Renew. Energy 24 (2001), 59–71.
56. [56] Stagl, S., Multicriteria evaluation and public participation: the case of UK energy policy. Land Use Policy 23 (2006), 53–62.
57. [57] Rodman, L.C., Meentemeyer, R.K., A geographic analysis of wind turbine placement in Northern California. Energy Policy 34 (2006), 2137–2149.
58. [58] Eastman, R.J., Kyen, P.A.K., Toledno, J., A procedure for multiple- objective decision making in GIS under conditions of conflicting objectives. Hents, J., Ottens, H.F.L., Scholten, H.J., (eds.) Fourth European Conference on GIS (ESIG 93) Proceedings, Genova (IT), vol. 1, 1993, 438–447.
59. [59] Chang, N.B., Parvathinathan, G., Breeden, J.B., Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. J. Environ. Manag. 87 (2008), 139–153.
60. [60] Van Hoesen, J., Letendre, S., Evaluating potential renewable energy resources in Poultney, Vermont: a GIS-based approach to supporting rural community energy planning. Renew. Energy 35 (2010), 2114–2122.
61. [61] Chang, K.T., Introduction to Geographic Information System. 2006, Tata McGraw Hill, New Delhi.
62. [62] Eastman, J.R., Guide to GIS and Image Processing. 1999, Clark Labs, Clark University, Worcester, MA, USA.
63. [63] Wu, W.W., Lee, Y.T., Developing global managers competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 32:2 (2007), 499–507.
64. [64] Chiu, Y.J., Chen, H.C., Tzeng, G.H., Shyu, J.Z., Marketing strategy based on customer behavior for the LCD-TV. Int. J. Manag. Decis. Mak. 7 (2006), 143–165.
65. [65] Tzeng, G.H., Chiang, C.H., Li, C.W., Evaluating intertwined effects in Elearning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Syst. Appl. 32 (2007), 1028–1044.
66. [66] Liou, J.J.H., Tzeng, G.H., Chang, H.C., Airline safety measurement using a hybrid model. Air Transp. Manag. 13 (2007), 243–249.
67. [67] Lin, C.L., Tzeng, G.H., A value-created system of science (technology) park by using DEMATEL. Expert Syst. Appl. 36:6 (2009), 9683–9697.
68. [68] Ou Yang, Y.P., Shieh, H.M., Leu, J.D., Tzeng, G.H., A novel hybrid MCDM model combined with DEMATEL and ANP with applications. Int. J. Op. Res. 5 (2008), 160–168.
69. [69] Vafadarnikjoo, A., Corrigendum to “Using fuzzy DEMATEL to evaluate the green supply chain management practices. J. Clean. Prod. 40 (2013), 32–39 Journal of Cleaner Production 2014;82:232.
70. [70] Goodman, R., Introduction to Stochastic Models. 1988, Cummings Pub, Benjamin.
71. [71] Yang, J.L., Tzeng, G.H., An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Syst. Appl. 38 (2011), 1417–1424.
72. [72] Lee, W.S., Tzeng, G.H., Guan, J.L., Chien, K.T., Huang, J.M., Combined MCDM techniques for exploring stock selection based on Gordon model. Expert Syst. Appl. 36 (2009), 6421–6430.
73. [73] Vafadarnikjoo, A., Mobin, M., Allahi, S., Rastegari, A., A hybrid approach of intuitionistic fuzzy set theory and DEMATEL method to prioritize selection criteria of bank branches locations. Proceedings of the 2015 American Society of Engineering Management Conference (ASEM2015), Indiana, USA, 2015.
74. [74] Vafadarnikjoo, A., Mobin, M., Salmon, C., Javadian, N., An integrated gray-fuzzy cause and effect approach to determine the most significant categories of project risks. Proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC2015), Tennessee, USA, 2015.
75. [75] Opricovic, S., Tzeng, G.H., De-fuzzification within a multi-criteria decision model. International journal of uncertainty. Fuzziness Knowledge-Based Syst. 11 (2003), 635–652.
76. [76] Saaty, T.L., Decision Making with Dependence and Feedback: the Analytic Network Process. 1996, RWS Publications, Pittsburgh, PA, USA.
77. [77] Eastman, J.R., Idrisi Andes – Tutorial. 2006, Clark Labs., Clark University, Worcester, MA.
78. [78] Pamučar, D., Ćirović, G., The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison. Expert Syst. Appl. 42 (2015), 3016–3028.
79. [79] Institute for Multidisciplinary Research, Atlas of Solar and Wind Energy Potentials in Serbia, 2007. 2010.
80. [80] Provincial Secretariat for Energy and Mineral Resources, Wind Atlas of the Autonomous Province of Vojvodina, Novi Sad. 2008.
81. [81] Taghilo, A., Calculation of Wind Potential for Wind Power Construction Plant (Case Study in Zanjan Province). 2011, Tarbiat Modarres University, Tehran, Iran.
82. [82] Moiloa, B., Geographical Information Systems for Strategic Wind Energy Site Selection. 2009, Vrije Universiteit, Amsterdam Netherlands.
83. [83] Official Gazette of the Republic of Serbia 31/12, Regulation on Regimes of Protection, Belgrade. 2012.
84. [84] Nosović, P., Bakalović, M., Electromagnetic fields and safety distances from overhead lines. Infoteh-Jahorina 10 (2011), 1043–1047.
85. [86] Eastman, J.R., Jin, W., Kyem, P.A.K., Toledano, J., Raster procedures for multi-criteria/multi-objective decisions. Photogramm. Eng. Remote Sens. 61 (1995), 539–547.
86. [87] Lee, K.H., Jun, S.O., Pak, K.H., Lee, D.H., Lee, K.W., Park, J.P., Numerical optimization of site selection for offshore wind turbine installation using genetic algorithm. Curr. Appl. Phys. 10 (2010), S302–S306.
87. [88] Kahraman, C., Kaya, I., Cebi, S., A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 34 (2009), 1603–1616.
88. [89] Corine Land Cover 2006 raster data, European Environment Agency (EEA). 2015 http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-3 (Accessed 18 August 15).
89. [90] Farajisabokbar, H., Nasiri, H., Hamzeh, M., Talebi, S., Rafee, Y., Analysis of land suitability to locate rural service centres using PROMETHEE II and AHP methods in GIS environment (Case study in Soltanieh-Abhar city). J. Rural Dev. 2 (2010), 95–118.
90. [91] Provincial Institute for the Protection of Nature, Map of Protected Areas of Vojvodina, Novi Sad. 2011.
91. [92] Military Geographical Institute, Digital Terrain Model (DMT 25), Belgrade. 2006.
92. [93] Military Geographical Institute, Digital Topographic Map (DTKP 300), Belgrade. 2003.
93. [94] Statistical Office of the Republic of Serbia, Census of Population Households and Dwellings in the Republic of Serbia. Book 1: Ethnicity, Data by Municipalities and cities., Belgrade. 2011.
94. [95] Li, Q., A novel Likert scale based on fuzzy sets theory. Expert Syst. Appl. 40 (2013), 1609–1618.
95. [96] Denholm, P., Hand, M., Jackson, M., Ong, S., Land-use Requirements of Modern Wind Power Plants in the United States. 2009, National Renewable Energy Laboratory, USA.
96. [97] Meszaros, C.S., Rapcsak, T., On sensitivity analysis for a class of decision systems. Decis. Support Syst. 16 (1996), 231–240.
97. [98] Barysiene, J., A multi-criteria evaluation of container terminal technologies applying the COPRAS-G method. Transport 27:4 (2012), 364–372.
98. [99] Rezaeiniya, N., Zolfani, S.H., Zavadskas, E.K., Greenhouse locating based on ANP-COPRAS-G methods - an empirical study based on Iran. Int. J. Strategic Prop. Manag. 16:2 (2012), 188–200.
99. [101] Wang, S., Liu, P., The evaluation study on location selection of logistics centre based on fuzzy AHP and TOPSIS. International Conference on Wireless Communications, Networking and Mobile Computing, 21–25.09.2007, 2007, 3779–3782.
100. [102] Chen, S., Liu, X., Factors and a method of selecting a site for a logistical centre. J. Weinan Teach. Coll. 3 (2006), 2356–2368.
101. [103] Xu, X., Law, R., Chen, W., Tang, L., Forecasting tourism demand by extracting fuzzy Takagi-Sugeno rules from trained SVMs. CAAI Trans. Intell. Technol. 1 (2016), 30–42.
102. [104] Božanić, D., Pamučar, D., Karović, S., Use of the fuzzy AHP - MABAC hybrid model in ranking potential locations for preparing laying-up positions. Vojnoteh. glasnik/Military Tech. Cour. 64:3 (2016), 705–729.
103. [105] Pamučar, D., Božanić, D., Kurtov, D., Fuzzification of the Saaty's scale and a presentation of the hybrid fuzzy AHP-TOPSIS model: an example of the selection of a brigade artillery group firing position in a defensive operation. Vojnoteh. glasnik/Military Tech. Cour. 64:4 (2016), 966–986.
104. [106] Tavana, M., Li, Z., Mobin, M., Komaki, M., Teymurian, E., Multi-objective design of control chart optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS. Expert Syst. Appl. 50 (2016), 17–39 2016.
105. [107] Salmon, C., Mobin, M., Roshani, A., TOPSIS as a Method to Populate Risk Matrix Axes, Proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC2015), Tennessee, USA. 2015.
106. [108] Mobin, M., Roshani, A., Saeedpoor, M., Mozaffari, M., Integrating FAHP with COPRAS-g method for supplier selection (case study: an iranian manufacturing company). Proceedings of the 2015 American Society of Engineering Management Conference (ASEM2015), Indiana, USA, 2015.
107. [109] Mobin, M., Dehghani, M., Salmon, C., Food product target market prioritization using fuzzy MCDM approaches. Proceedings of the 2014 Industrial and Systems Engineering Research Conference (ISERC2014), Montreal, Canada, 2014.
108. [110] Mobin M, Dehghani M, Salmon C. Food product target market prioritization using fuzzy MCDM approaches. Proceedings of the 2014 Industrial and Systems Engineering Research Conference (ISERC2014), Montreal, Canada, 2014.
109. [111] Salmon, C., Mobin, M., Roshani, A., TOPSIS as a method to populate risk matrix axes. Proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC2015), Tennessee, USA, 2015.
110. [112] Mobin, M., Roshani, A., Saeedpoor, M., Mozaffari, M., Integrating FAHP with COPRAS-g method for supplier selection (case study: an iranian manufacturing company). Proceedings of the 2015 American Society of Engineering Management Conference (ASEM2015), Indiana, USA, 2015.
111. [113] Govindan, K., Khodaverdi, R., Vafadarnikjoo, A., A grey DEMATEL approach to develop third-party logistics provider selection criteria. Ind. Manag. Data Syst. 116:4 (2016), 690–722.