International Journal of Nonlinear Analysis and Applications
A hybrid fuzzy MCDM approach to prioritize organization's activities based on fuzzy analytic hierarchy process and fuzzy DEMATEL
Document Type : Research Paper
Authors
1 Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran
2 Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Iran
Abstract
Decision makers need to prioritize the organization’s activities in order to allocate resources optimally. Prioritization of activities is a multi-criteria problem that includes both quantitative and qualitative factors. The C4ISR framework is a well-known and widely used framework that describes the activities of the organization using the Activity Model (OV-5) product. In this paper, a new fuzzy hybrid methodology is proposed to describe and prioritize the activities of the organization in fuzzy conditions. First, the activities of the organization are described in a fuzzy format. Then, Activities are prioritized by the use of a hybrid method based on fuzzy DEMATEL and fuzzy AHP. Fuzzy AHP is used to calculate the weight of each activity and Fuzzy DEMATEL is used to calculate the interdependencies between activities. Finally, the Science and Technology Parks of Iran as an empirical study is presented to illustrate the application of the proposed method.
Keywords
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[38] M.J. Sharma, I. Moon and H. Bae, Analytic hierarchy process to assess and optimize distribution network, Appl. Math. Comput. 202 (2008), no. 1, 256–265.
[2] J. Afshani, A. Karimi, N. Osati Eraghi and F. Zarafshan, A fuzzy DEMATEL-ANP-based approach to prioritize activities in enterprise architecture, Complexity 2022 (2022).
[3] J. Acz´el and T.L. Saaty, Procedures for synthesizing ratio judgements, J. Math. Psycho. 27 (1983), no. 1, 93–102.
[4] P. Bhattacharya, Aligning enterprise systems capabilities with business strategy: an extension of the strategic alignment model (SAM) using enterprise architecture, Proc. Comput. Sci. 138 (2018), 655–662.
[5] J.J. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Syst. 17 (1985), no. 3, 233–247.
[6] G. B¨uy¨uk¨ozkan and G. C¸ if¸ci, A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers, Expert Syst. Appl. 39 (2012), no. 3, 3000–3011.
[7] O. Cakir and M.S. Canbolat, A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology, Expert Syst. Appl. 35 (2008), no. 3, 1367–1378.
[8] Y. C¸ elikbilek and A.N. Adıg¨uzel T¨uyl¨u, Prioritizing the components of e-learning systems by using fuzzy DEMATEL and ANP, Interact. Learn. Environ. 30 (2022), no. 2, 322–343.
[9] Z. Chen, X. Ming, X. Zhang, D. Yin and Z. Sun, A rough-fuzzy DEMATEL-ANP method for evaluating sustainable value requirement of product service system, J. Cleaner Prod. 228 (2019), 485–508.
[10] Y. Dong, Q. Zha, H. Zhang, G. Kou, H. Fujita, F. Chiclana and E. Herrera-Viedma, Consensus reaching in social network group decision making: research paradigms and challenges, Knowledge-Based Syst. 162 (2018), 3–13.
[11] M. Dytczak and G. Ginda, Is explicit processing of fuzzy direct influence evaluations in DEMATEL indispensable?, Expert Syst. Appl. 40 (2013), no. 12, 5027–5032.
[12] S. Fazli, R. Kiani Mavi and M. Vosooghidizaji, Crude oil supply chain risk management with DEMATEL–ANP, Oper. Res. 15 (2015), no. 3, 453–480.
[13] A. Fetanat and E. Khorasaninejad, A novel hybrid MCDM approach for offshore wind farm site selection: a case study of Iran, Ocean Coast. Manag. 109 (2015), 17–28.
[14] T. Gai, M. Cao, Q. Cao, J. Wu, G. Yu and M. Zhou, A joint feedback strategy for consensus in large-scale group decision making under social network, Comput. Ind. Eng. 147 (2020), 106626.
[15] P. Gao, J. Huang and Y. Xu, A k-core decomposition-based opinion leaders identifying method and clustering-based consensus model for large-scale group decision making, Comput. Ind. Eng. 150 (2020), 106842.
[16] C.A.W. Group, C4ISR architecture framework version 2.0, US Department of Defense, 1997.
[17] A. Haghighathoseini, H. Bobarshad, F. Saghafi, M.S. Rezaei and N. Bagherzadeh, Hospital enterprise architecture framework (study of Iranian university hospital organization), Int. J. Med. Inf. 114 (2018), 88–100.
[18] T.-Y. Hsieh, S.-T. Lu and G.-H. Tzeng, Fuzzy MCDM approach for planning and design tenders selection in public office buildings, Int. J. Proj. Manag. 22 (2004), no. 7, 573–584.
[19] G. Jimenez-Delgado, D. Alcazar-Franco, D. Garc´ıa-Tamayo, P. Oliveros-Eusse and M. Gomez-Diaz, Evaluating theperformance in the environmental management and reverse logistics in companies of plastic sector: an integration
of fuzzy AHP, DEMATEL and TOPSIS methods, Int. Conf. Human-Comput. Interaction, 2021, pp. 525–545.
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[21] D. Khosroanjom, A.R. Ghatari, A. Azar and A. Moghbel, Integrating fuzzy analytic hierarchy process and fuzzy DEMATEL to investigate service capabilities in Iranian small enterprises: a resource-based perspective, J. Product. Manag. 15 (2021), no. 1(56), 23–53.
[22] S. Lahane and R. Kant, Evaluating the circular supply chain implementation barriers using Pythagorean fuzzy AHP-DEMATEL approach, Clean. Logist. Supply Chain 2 (2021), 100014.
[23] Q. Li, L. Wang, Y. Zhu, B. Mu and N. Ahmad, Fostering land use sustainability through construction land reduction in China: an analysis of key success factors using fuzzy-AHP and DEMATEL, Environ. Sci. Pollut. Res. 29 (2022), no. 13, 18755–18777.
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[25] X. Liu, Y. Xu, R. Montes and F. Herrera, Social network group decision making: managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism, Inf. Sci. 505 (2019), 215–232.
[26] R.K. Mavi and C. Standing, Critical success factors of sustainable project management in construction: a fuzzy DEMATEL-ANP approach, J. Clean. Prod. 194 (2018), 751–765.
[27] Y. Mordecai, O. Orhof and D. Dori, Model-based interoperability engineering in systems-of-systems and civil aviation, IEEE Trans. Syst. Man, Cybern. Syst. 48 (2016), no. 4, 637–648.
[28] F. Najafinasab, A.R. Karbassi and J. Ghoddousi, Fuzzy analytic network process approach to evaluate land and sea criteria for land use planning in coastal areas, Ocean Coast. Manag. 116 (2015), 368–381.
[29] L.A. Ocampo, C.M. Himang, A. Kumar and M. Brezocnik, A novel multiple criteria decision-making approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy AHP for mapping collection and distribution centers in reverse logistics, Adv. Prod. Eng. Manag. 14 (2019), no. 3.
[30] S.L. Razavi Toosi and J.M.V. Samani, Prioritizing watersheds using a novel hybrid decision model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR, Water Resour. Manag. 31 (2017), no. 9, 2853–2867.
[31] T.L. Saaty, The analytic hierarchy process: planning, priority setting, resource allocation, RWS, Pennsylvania State University, 1990.
[32] M. Sabri, M. Odeh and M. Saad, Deriving object-based business process architecture using knowledge management enablers, Int. Arab J. Inf. Technol. 16 (2019), no. 3A, 577–586.
[33] F. Sadehnezhad, M. Zaranejad and A. Gheitani, Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance, Eur. Online J. Nat. Soc. Sci. Proc. 2 (2014), no. 3(s), p. 1374.
[34] M. Sambasivan and N.Y. Fei, Evaluation of critical success factors of implementation of ISO 14001 using analytic hierarchy process (AHP): a case study from Malaysia, J. Clean. Prod. 16 (2008), no. 13, 1424–1433.
[35] M.S. Sardasht and E. Rashedi, Identifying Influencing factors of audit risk model: a combined fuzzy ANPDEMATEL approach, Int. J. Digit. Account. Res. 18 (2018), no. 24, 69–117.
[36] H. Sayyadi Tooranloo, Analyzing the effective factors on innovative supply chain model in service organizations applying intuitive fuzzy DEMATEL and AHP methods, Int. J. Ind. Eng. Prod. Res. 32 (2021), no. 4, 1–26.
[37] H. Sayyadi Tooranloo, S.H. Mirghafoori and M. Abdolhosseini, Analysing determinants of student relationship management implementation: integration of fuzzy DEMATEL and AHP techniques, Int. J. Educ. Econ. Dev. 12 (2021), no. 2, 170–191.
[38] M.J. Sharma, I. Moon and H. Bae, Analytic hierarchy process to assess and optimize distribution network, Appl. Math. Comput. 202 (2008), no. 1, 256–265.
[39] O. Uygun, H. Ka¸camak, and ¨ U.A. Kahraman, ¨ An integrated DEMATEL and fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company, Comput. Ind. Eng. 86 (2015), 137–146.
[40] O. Uygun, T.C. Kahveci, H. Ta¸skın and B. Piri¸stine, ¨ Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques, Comput. Ind. Eng. 88 (2015), 217–228.
[41] S. Vinodh, T.S. Sai Balagi and A. Patil, A hybrid MCDM approach for agile concept selection using fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS, Int. J. Adv. Manuf. Technol. 83 (2016), no. 9, 1979–1987.
[42] T.-C. Wang and Y.-H. Chen, Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP, Inf. Sci. 178 (2008), no. 19, 3755–3765.
[43] J. Wu, M. Cao, F. Chiclana, Y. Dong and E. Herrera-Viedma, An optimal feedback model to prevent manipulation behavior in consensus under social network group decision making, IEEE Trans. Fuzzy Syst. 29 (2020), no. 7, 1750–1763.
[44] W.-W. Wu and Y.-T. Lee, Developing global managers’ competencies using the fuzzy DEMATEL method, Expert Syst. Appl. 32 (2007), no. 2, 499–507.
[45] T.-M. Yeh and Y.-L. Huang, Factors in determining wind farm location: integrating GQM, fuzzy DEMATEL, and ANP, Renew. Energy 66 (2014), 159–169.
[46] L.A. Zadeh, On fuzzy algorithms, in fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh, G.J. Klir and B. Yuan (Eds.), World Scientific, 1996.
[47] Z. Zhang, Z. Li and Y. Gao, Consensus reaching for group decision making with multi-granular unbalanced linguistic information: a bounded confidence and minimum adjustment-based approach, Inf. Fusion 74 (2021), 96–110.
[40] O. Uygun, T.C. Kahveci, H. Ta¸skın and B. Piri¸stine, ¨ Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques, Comput. Ind. Eng. 88 (2015), 217–228.
[41] S. Vinodh, T.S. Sai Balagi and A. Patil, A hybrid MCDM approach for agile concept selection using fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS, Int. J. Adv. Manuf. Technol. 83 (2016), no. 9, 1979–1987.
[42] T.-C. Wang and Y.-H. Chen, Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP, Inf. Sci. 178 (2008), no. 19, 3755–3765.
[43] J. Wu, M. Cao, F. Chiclana, Y. Dong and E. Herrera-Viedma, An optimal feedback model to prevent manipulation behavior in consensus under social network group decision making, IEEE Trans. Fuzzy Syst. 29 (2020), no. 7, 1750–1763.
[44] W.-W. Wu and Y.-T. Lee, Developing global managers’ competencies using the fuzzy DEMATEL method, Expert Syst. Appl. 32 (2007), no. 2, 499–507.
[45] T.-M. Yeh and Y.-L. Huang, Factors in determining wind farm location: integrating GQM, fuzzy DEMATEL, and ANP, Renew. Energy 66 (2014), 159–169.
[46] L.A. Zadeh, On fuzzy algorithms, in fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh, G.J. Klir and B. Yuan (Eds.), World Scientific, 1996.
[47] Z. Zhang, Z. Li and Y. Gao, Consensus reaching for group decision making with multi-granular unbalanced linguistic information: a bounded confidence and minimum adjustment-based approach, Inf. Fusion 74 (2021), 96–110.
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Volume 14, Issue 1
January 2023Pages 2633-2646
- Receive Date: 01 May 2022
- Revise Date: 26 May 2022
- Accept Date: 18 June 2022