International Journal of Nonlinear Analysis and Applications

Evaluating the function of reverse fund in 'Majma Hamiyari tourism development plan' using fuzzy expert system

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 article, ‎according to the competition in marketing science, ‎a method for better decision-making and marketing forecast based on fuzzy logic "‎fuzzy expert system" ‎is presented regarding the tourism development plan of Majma Hamiyari owned by Abbas Bashiri‎. ‎In this research, ‎the evaluation of the system based on the calculation method of the proposed plan (reverse fund) is presented in attracting different layers of the society based on the definition of input variables such as age, ‎education, ‎marital, ‎place of residence, ‎membership in life insurance and membership in the family fund. ‎In fact, ‎the proposed method offers marketing managers a plan that concentrates the most time and financial capital for advertising for a segment of society that this calculation method (reverse fund) has the greatest effect on attracting customers. ‎The fuzzy expert system was designed with 12 rules after reviewing the rules and removing similar and contradictory rules by using their degree calculation. ‎In this system, ‎by integrating some factors, ‎finally, 6 input variables and one output variable were considered that were used by the product inference engine, ‎singleton fuzzifier and center average defuzzifier‎. ‎It was observed that the designed fuzzy expert system provides very good results.

Keywords

[1] N.A. Agatz, M. Fleischmann, and J.A. Van Nunen, E-fulfillment and multi-channel distribution-A review, Eur. J. Oper. Res. 187 (2008), no. 2, 339—356.
[2] A. Alptekinoglu and C.S. Tang, A model for analyzing multi-channel distribution systems, Eur. J. Oper. Res. 163 (2009), no. 3, 802-–824.
[3] A. Bashiri, S.M. Mirhosseini-Alizamini and M.M. Nasrabadi, Application of Fuzzy Logic for Advertising Marketing Campaigns, Control Optim. Appl. Math. 5 (2021), no. 2, 25–37.
[4] 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.
[5] D. Bond, Advertising agencies squeezed by tech giants, The Financial Times, 2017.
[6] G.Q. Chen and Q.Wei, Fuzzy association rules and the extended mining algorithms, Inf. Sci. 147 (2002), 201-228.
[7] R. Chiv F. Nie, S. Wu and S. Tum, Analysis of factors influencing marketing channel choices by smallholder farmers: A case study of Paddy product in wet and dry season of Prey Veng Province, Cambodia, J. Sustain. Dev. 147 (2020), 201—228.
[8] 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.
[9] M. Dehghandar, H. Khaloozadeh, F. Soltanian and M. Keshavarz, Application of fuzzy logic to determine the retentive causes of pulse body the pulse parameters, Iran. Trad. Med. J. Multidis. Engin. Sci. Technol. 3 (2016), no. 2, 3881–3884.
[10] M. Dehghandar, M. Pabasteh and R. Heydari, Diagnosis of COVID-19 disease by fuzzy expert system designed based on input-output, J. Control 14 (2021), no. 5, 71–78.
[11] A. Deshmukh and T. Lakshminarayana A rule-based fuzzy reasoning system for assessing the risk of management fraud, Int. J. Intell. Syst. Account Finance Manag. 4 (1998), 231–241.
[12] 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. Model. 57 (2018), 459–473.
[13] 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., 2017, pp. 1–4.
[14] S. Guo and H. Zhao, Fuzzy best-worst multi-criteria decision-making method and its applications, Knowledge-Based Syst. 121 (2017), 23—31.
[15] J. Jarvinen and H. Karjaluoto, The use of web analytics for digital marketing performance measurement, Ind. Market. Manag. 50 (2015), 117–127.
[16] A. Hoque, F.A. Shikha, M. W. Hasanat, I. Arif and A.B.A. Hamid, The effect of Coronavirus (COVID-19) in the tourism industry in China, Asian J. Multidis. Stud. 3 (2020), no 1, 52–58.
[17] 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.
[18] N. Khan and F. Khan, Fuzzy based decision making for promotional marketing campaigns, Int. J. Fuzzy Logic Syst. 3 (2013), no. 1, 65–77.
[19] N.N. Kyaw, S. Ahn and S.H. Lee, Analysis of the factors influencing market participation among smallholder rice farmers in magway region, central dry zone of Myanmar, Sustainability 10 (2018), 4441.
[20] R.A. Lewis and D.H. Reiley, Down-to-the-minute effects of super bowl advertising on online search behavior, Proc. 14th ACM Conf. Electronic Commerce Philadelphia, PA, Array, 2013, pp. 639–656.
[21] F. Meng and X. Chen, A robust additive consistency-based method for decision making with triangular fuzzy reciprocal preference relations, Fuzzy Optim. Decis. Mak. 17 (2018), 49–73.
[22] 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.
[23] N. Moghanlo and S. Mansouri, The impact of COVID-19 corona virus on the tourism industry, 7th Nat. Conf. Modern Stud. Res. Field Geo. Architect. Urban Plan. Iran, 2020.
[24] 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.
[25] J.R. Saura, P. Palos-Sanchez and L.M. Cerda Suarez, Understanding the digital marketing environment with KPIs and web analytics, Future Internet 9 (2017), no. 76, 1–13.
International Journal of Nonlinear Analysis and Applications
Volume 14, Issue 7
July 2023
Pages 45-56
  • Receive Date: 21 January 2023
  • Revise Date: 01 May 2023
  • Accept Date: 08 May 2023