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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

عنوان مقاله: 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
شناسه ملی مقاله: JR_IJNAA-14-7_007
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Abbas Bashiri - The CEO of Creative Company, Vice Presidency for Science and Technology, Sari, Iran
Seyed Mehdi Alizamini - Department of Mathematics, Payame Noor University (PNU), Tehran, Iran
Mikaeil Janbazi-Ghadi - The CEO of Creative Company, Vice Presidency for Science and Technology, Sari, Iran

خلاصه مقاله:
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.

کلمات کلیدی:
Majma Hamyari cultural plan, ‎Fuzzy best worst method‎, Fuzzy EDAS method, ‎Fuzzy expert system‎, ‎Multi-criteria decision-making

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1763482/