New multi-objective optimization model for tourism systems with fuzzy data and new algorithm for solving this model

Gholamreza Shojatalab (), Seyed Hadi Nasseri () and Iraj Mahdavi ()
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Gholamreza Shojatalab: University of Mazandaran
Seyed Hadi Nasseri: University of Mazandaran
Iraj Mahdavi: Mazandaran University of Science and Technology

OPSEARCH, 2022, vol. 59, issue 3, No 11, 1018-1037

Abstract: Abstract Tourism is one of the fastest-growing industries in the world and the most significant service sector industry. A fundamental question that can be prompted is how to minimize the total tour cost and, at the same time, design the tour to make the tourists get maximum satisfaction. This paper proposes a new multi-objective optimization model for tourism systems. We have considered problem modelling in the form of multi-objective optimization in which we can optimize the conflicting goals at the same time. Here we have considered a provider of tour packages that intends to minimize its total costs and, at the same time, maximize the satisfaction of tourists with their packages. In our proposed model, some of the model parameters are fuzzy numbers, so an appropriate algorithm is proposed to solve the multi-objective optimization model. The results can offer constructive suggestions on how to design tours on the part of tourism enterprises and choose a proper tour. The main advantage of this study is to consider the problem of optimizing tourism systems in the form of a multi-objective optimization problem that uses both fuzzy and non-fuzzy numbers at the same time. Also, to deal with this specific multi-objective optimization model, a new algorithm based on the Epsilon constraint method is proposed. The proposed algorithm is used in a case study, and in this example, it performed better than the other algorithms.

Keywords: Multi-objective optimization; Tourism system; Fuzzy number; Solving algorithm (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s12597-022-00591-3

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