Influential factors in recruitment and increase of the members of Majma Hamyari cultural plan during Iran's economic sanctions and post-sanction‎, ‎using fuzzy EDAS method

Document Type : Research Paper

Authors

1 The CEO of Creative Company, Vice Presidency for Science and Technology, Sari, Iran

2 Department of Mathematics, Payame Noor University (PNU), Tehran, Iran

Abstract

In this paper‎, ‎a new approach for decision-making and marketing forecast based on fuzzy logic fuzzy expert system is presented regarding the tourism development plan of the Majma Hamiyari Association by Abbas Bashiri‎. ‎In other words‎, ‎let's look at system marketing using the reverse fund design calculation method in attracting different strata according to the input and output variables‎. ‎In fact‎, ‎we offer the marketing manager a plan to focus the most time and capital for advertising on the segment where this calculation method has the greatest impact on attracting customers‎. ‎This study suggests an infrastructure for determining the factors affecting tourism‎. ‎Hence‎, ‎the newest multi-criteria decision-making method‎, ‎the fuzzy best-worst method was used to calculate the relative importance of indices and fuzzy evaluation based on distance from average solution technique was applied as a multi-attribute decision-making method to rank effective factors in tourism‎. ‎The statistical population of this research consists of directors and experts in the tourism industry in Mazandaran‎. ‎Due to the results of this study‎, ‎providing Banking facilities to users ranks first among other options for the economy itself.

Keywords

[1] A. Bashiri, S.M. Mirhosseini-Alizamini, and M.M. Nasrabadi, Application of Fuzzy Logic for Advertising Marketing Campaigns, Control Optim. Appl. Math. 5 (2020), no. 2, 25–37.
[2] A. Bashiri, S.M. Mirhosseini-Alizamini, and M.M. Nasrabadi, Analysis of factors affecting health tourism in the COVID-19 crisis using fuzzy EDAS method, Int. J. Nonlinear Anal. Appl. 12 (2021), no. Special Issue, 1175–1188.
[3] R. Chinram, A. Hussain, T. Mahmood, and M.I. Ali, Edas method for multi-criteria group decision making based on intuitionistic fuzzy rough aggregation operators, IEEE Access 9 (2021), 10199-10216.
[4] P. Dashore and S. Kumar-Jain, Fuzzy rule based system and metagraph for risk management in electronic banking activities, Int. J. Engin. Technol. 1 (2009), no. 1, 1793-–8236.
[5] J. Dong, S. Wan, and S.M. Chen, Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making, Inf. Sci. 547 (2021), no. 8, 1080–1104.
[6] A. Ebrahimnejad, S. Jafarnejad-Ghomi, and S.M. Mirhosseini-Alizamini, A revisit of numerical approach for solving linear fractional programming problem in a fuzzy environment, Appl. Math. Modell. 57 (2018), 459–473.
[7] A. Ebrahimnejad, S. Jafarnejad-Ghomi, and S.M. Mirhosseini-Alizamini, A new approach for solving fully fuzzy linear fractional programming problems, 4th Int. Conf. Knowledge-Based Engin. Innov. (KBEI), 2017, pp. 1–4.
[8] J.P. Fan, R. Cheng, and M.Q. Wu, Extended edas methods for multi-criteria group decision-making based oniv-cfswaa and iv-cfswga operators with interval-valued complex fuzzy soft information, IEEE Access 7 (2019a), 105546–105561.
[9] S. Guo and H. Zhao, Fuzzy best-worst multi-criteria decision-making method and its applications, Knowledge-Based Syst. 121 (2017), 23-–31.
[10] M. Kamarzarrin and N. Eghbal, Modeling of self-assessment system of COVID-19 disease diagnosis using Type-2 Sugeno fuzzy inference system, J. Control 14 (2021), no. 5, 49–57. (In Persian)
[11] M. Keshavarz-Ghorabaee, E. Kazimieras-Zavadskas, M. Amiri, and Z. Turskis, Extended EDAS method for fuzzy multi-criteria decision-making: An application to supplier selection, Int. J. Comput. Commun. Control 11 (2016), no. 3, 358–371.
[12] M. Keshavarz-Ghorabaee, E. Kazimieras-Zavadskas, L. Olfat, and Z. Turskis, Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS), Informatic 26 (2015), no. 3, 435–451.
[13] M. Keshavarz-Ghorabaee, M. Amiri, E. Kazimieras-Zavadskas, Z. Turskis, and J. Antucheviciene, A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation, Information 9 (2018), 68.
[14] H. Koshle, R. Kaur, and Basista, Breakdown of business and workers in India: Impact of Corona Virus, Dev. Econ.: Macroecon. 12 (2020).
[15] A. Kumar, Disastrous impact of Coronavirus (COVID 19) on tourism and Hospitality industry in India, J. Asian Univ. Archit. Technol. 12 (2020), 68–78.
[16] A. Malek, S. M. Mirhosseini Alizamini, and G. Ahmadi, A Recurrent Neural Network Model for Solving Linear Semidefinite Programming, Caspian J. Math. Sci. 4 (2015), no. 2, 205–213.
[17] H. Manti, Investigating the effects of Coronavirus 19 on the global economy, Soc. Impact Assess. 1 (2020), no. 2, 163–181. (In Persian)
[18] A. Mehdiabadi, P.F. Wanke, M. Amiri, S. Khorshid, C. Spulbar, and R. Birau, A new hybrid fuzzy
model: Satisfaction of residents in Touristic areas toward Tourism development, Math. Prob. Engin. 2021 (2021).
[19] F. Merdivenci and H. Karakas, Analysis of factors affecting health tourism performance using fuzzy DEMATEL method, Adv. Hospital. Tourism Res. 8 (2020), no. 2, 371–392.
[20] A. Mohtashami, A novel modified fuzzy best-worst multi-criteria decision-making method, Expert Syst. Appl. 181 (2021), 115196.
[21] N. Moghanlo and S. Mansouri, The impact of COVID-19 corona virus on the tourism industry, 7th Nat. Conf. Modern Stud. Res. Field Geog., Architecture and Urban Planning of Iran, 2020. (In Persian)
[22] M. Nasrollahi, M.R. Fathi, and A. Faghih, Designing a model for evaluating marketing channels based on the fuzzy best-worst and fuzzy EDAS methods, J. Bus. Manag. 10 (2018), no. 3, 695–712. (In Persian)
[23] P. Pitchipoo, P. Venkumar, and S. Rajakarunakaran, Fuzzy hybrid decision model for supplier evaluation and selection, Int. J. Prod. Res. 51 (2013), no. 13, 3903–3919.
[24] F. Rahimi, The effect of coronary heart disease (covid 19) on economic development and tourism industry, 1st Int. Conf. Manag., Tourism and Technology (ICMT). Penang, Malaysia, 2020. (In Persian)
[25] J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015), 49–57.
[26] A. E. Torkayesh, M. Deveci, S. Karagoz, and J. Antucheviciene, A state-of-the-art survey of evaluation based on distance from average solution (EDAS): developments and applications, Expert Syst. Appl. 221 (2022), 119724.
[27] Z. Ullah, M. Elkadeem, K.M. Kotb, I.B. Taha, and S. Wang, Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply, Renew. Energy 179 (2021), 885–910.
[28] J. Vishnupriyan, D. Arumugam, N.M. Kumar, S.S. Chopra, and P. Partheeban, Multi-criteria decision analysis for optimal planning of desalination plant feasibility in different urban cities in India, J. Cleaner Prod. 315 (2021), 128146.
[29] L. Wang and H. Wang, An integrated qualitative group decision-making method for assessing health-care waste treatment technologies based on linguistic terms with weakened hedges, Appl. Soft Comput. 117 (2022), 108435.
[30] S. Zhang, H. Gao, G. Wei, Y. Wei, and C. Wei, Evaluation based on distance from average solution method for multiple criteria group decision making under picture 2-tuple linguistic environment, Mathematics 7 (2019b), 243–257.
Volume 14, Issue 7
July 2023
Pages 81-98
  • Receive Date: 23 February 2023
  • Revise Date: 12 April 2023
  • Accept Date: 08 May 2023