Abstract
The process of criteria prioritization and weighting is an important part of multiple attributes decision making. The most frequently applied multi-attribute decision-making weighting tools include analytical hierarchy process, stepwise weight assessment ratio analysis, factor relationship, and best–worst method. When policies are at the core of decision making, stepwise weight assessment ratio analysis method is the most efficient method for criteria evaluation. It involves two important steps: the first is to prioritize the criteria by consulting experts, while the second is the weighting process. This research seeks to extend stepwise weight assessment ratio analysis to improve the quality of the decision-making process by incorporating the reliability evaluation of experts’ idea into the first step. Such a component is absent from the first step in all other similar models. Thus, an extended version of stepwise weight assessment ratio analysis can be applied for such evaluation. To test the applicability and performance of the proposed method, a numerical example from an earlier study was used. The proposed version can replace the classic version in future studies as an improved method in decision-making area.
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Bitarafan M, Hashemkhani Zolfani S, Lale Arefi S, Zavadskas EK, Mahmoudzadeh A (2014) Evaluation of real-time intelligent sensors for structural health monitoring of bridges based on SWARA-WASPAS; a case in Iran. Balt J Road Bridge Eng 9(4):333–340
Brauers WKM, Zavadskas EK, Peldschus F, Turskis Z (2008) Multi-objective decision-making for road design. Transport 23(3):183–193
Chu ATW, Kalaba RE, Spingarn K (1979) A comparison of two methods for determining the weights of belonging to fuzzy sets. J Optim Theory Appl 27(4):531–538
Dalkey N, Helmer O (1963) An experimental application of the Delphi method to the use of experts. Manag Sci 9(3):458–467
Deng X, Hu Y, Deng Y, Mahadevan S (2014) Supplier selection using AHP methodology extended by D numbers. Expert Syst Appl 41(1):156–167
Feng B, Lai F (2014) Multi-attribute group decision making with aspirations: a case study. Omega 44:136–147
Ghorshi Nezhad MR, Hashemkhani Zolfani S, Moztarzadeh F, Zavadskas EK, Bahrami M (2015) Planning the priority of high tech industries based on SWARA-WASPAS methodology: the case of the nanotechnology industry in Iran. Econ Res Ekon Istraž 28(1):1111–1137
Ginevicius R (2011) A new determining method for the criteria weights in multi-criteria evaluation. Int J Inf Technol Decis Mak 10(6):1067–1095
Haghnazar Kouchaksaraei R, Hashemkhani Zolfani S, Golabchi M (2015) Glasshouse locating based on SWARA-COPRAS approach. Int J Strateg Prop Manag 19(2):111–122
Hashemkhani Zolfani S, Bahrami M (2014) Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technol Econ Dev Econ 20(3):534–553
Hashemkhani Zolfani S, Saparauskas J (2013) New application of SWARA method in prioritizing sustainability assessment indicators of energy system. Inzinerine Ekon Eng Econ 24(5):408–414
Hashemkhani Zolfani S, Aghdaie MH, Derakhti A, Zavadskas EK, Varzandeh MHM (2013a) Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Syst Appl 40(17):7111–7121
Hashemkhani Zolfani S, Farrokhzad M, Turskis Z (2013b) Investigating on successful factors of online games based on explorer. E M Ekon Manag 16(2):161–169
Hashemkhani Zolfani S, Maknoon R, Zavadskas EK (2015a) Multiple Nash equilibriums and evaluation of strategies; new application of MCDM methods. J Bus Econ Manag 16(2):290–306
Hashemkhani Zolfani S, Salimi J, Maknoon R, Kildiene S (2015b) Technology foresight about R&D projects selection; application of SWARA method at the policy making level. Inzinerine Ekon Eng Econ 26(5):571–580
Hashemkhani Zolfani S, Pourhossein M, Yazdani M, Zavadskas EK (2018) Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alex Eng J. 57:357–365
Jessop A (2014) IMP: a decision aid for multi-attribute evaluation using imprecise weight estimates. Omega 49:18–29
Karabasevic D, Stanujkic D, Urosevic S, Maksimovic M (2015) Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods. Acta Montan Slovaca 20(2):116–124
Karabasevic D, Zavadskas EK, Turskis Z, Stanujkic D (2016a) The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica 27(1):49–65
Karabasevic D, Paunkovic J, Stanujkic D (2016b) Ranking of companies according to the indicators of corporate social responsibility based on SWARA and ARAS methods. Serbian J Manag 11(1):43–53
Kendall MG (1970) Rank correlation methods, 4th edn. Griffin, London
Keršulienė V, Zavadskas EK, Turskis Z (2010) Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J Bus Econ Manag 11(2):243–258
Krylovas A, Zavadskas EK, Kosareva N, Dadelo S (2014) New KEMIRA method for determining criteria priority and weights in solving MCDM problem. Int J Inf Technol Decis Mak 13(6):1119–1134
MacCrimon KR (1968) Decision making among multiple attribute alternatives: a survey and consolidated approach, Rand Memorandum, RM-4823-ARPA
Mulliner E, Malys N, Maliene V (2015) Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega. https://doi.org/10.1016/j.omega.2015.05.013
Ramanathan R, Ramanathan U (2010) A qualitative perspective to deriving weights from pairwise comparison matrices. Omega 38(3–4):228–232
Rezaei J (2015) Best-worst multi-criteria decision-making method. Omega 53:49–57
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resources allocation. McGraw-Hill, London
Saaty TL (1986) Axiomatic foundation of the analytic hierarchy process. Manag Sci 32(7):841–55
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26
Saaty TL (1997) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–81
Saaty TL (2001) Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh
Shannon CE (1948) A note on the concept of entropy. Bell Syst Technol J 27:379–423
Srinivasan V, Shocker AD (1973) Linear programming techniques for multidimensional analysis of preferences. Psychometrika 38(3):337–369
Stanujkic D, Karabasevic D, Zavadskas EK (2015) A framework for the Selection of a packaging design based on the SWARA method. Inzinerine Ekon Eng Econ 26(2):181–187
Stewart TJ (1992) A critical survey on the status of multiple criteria decision making theory and practice. Omega 20(5–6):569–586
Sušinskas S, Zavadskas EK, Turskis Z (2011) Multiple criteria assessment of pile-columns alternatives. Balt J Road Bridge Eng 6(3):77–83
Ustinovichius L (2007) Methods of determining objective, subjective and integrated weights of attributes. Int J Manag Decis Mak 8(5–6):540–554
Vafaeipour M, Hashemkhani Zolfani S, Morshed Varzandeh MH, Derakhti A, Eshkalag M Keshavarz (2014) Assessment of regions priority for implementation of solar plants in Iran: new application of a hybrid multi-criteria decision making approach. Energy Convers Manag 86:653–663
van Winterfeldt D, Fischer GW (1975) Multi-attribute utility theory: models and assessment procedures. In: Wendt D, Viek C (eds) Utility, probability and human decision making. Reidel, Dordrecht
Xu X (2001) The SIR method: a superiority and inferiority ranking method for multiple criteria decision making. Eur J Oper Res 131:587–602
Yazdani M, Hashemkhani Zolfani S, Zavadskas EK (2016) New integration of MCDM methods and QFD in the selection of green suppliers. J Bus Econ Manag 17(6):1097–1113
You XY, You JX, Liu HC, Zhen L (2015) Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information. Expert Syst Appl 42(4):1906–1916
Zavadskas EK, Vilutienė T (2006) A multiple criteria evaluation of multi-family apartment block’s maintenance contractors: I-model for maintenance contractor evaluation and the determination of its selection criteria. Build Environ 41(5):621–632
Zavadskas EK, Ustinovichius L, Turskis Z, Shevchenko G (2008) Application of verbal methods to multi-attribute comparative analysis of investments risk alternatives in construction. Comput Model New Technol 12(4):30–37
Zavadskas EK, Turskis Z, Ustinovichius L, Shevchenko G (2010) Attributes weights determining peculiarities in multiple attribute decision making methods. Inzinerine Ekon Eng Econ 21(1):32–43
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Sarfaraz Hashemkhani Zolfani declares that he has no conflict of interest. Morteza Yazdani declares that he has no conflict of interest. Edmundas Kazimieras Zavadskas declares that he has no conflict of interest.
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Communicated by A. Genovese, G. Bruno.
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Hashemkhani Zolfani, S., Yazdani, M. & Zavadskas, E.K. An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Comput 22, 7399–7405 (2018). https://doi.org/10.1007/s00500-018-3092-2
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DOI: https://doi.org/10.1007/s00500-018-3092-2