Sunday , October 1 2023

An Autocratic Strategy for Multi-attribute Group Decision Making Based on Neutrosophic Triplets:
A Case Study in Prioritizing Recreation Areas in the Tourist Industries

Kuo-Wei LEE
Center for Innovation and Entrepreneurship Education, National Kaohsiung University of Science and Technology, 82445, Taiwan

Abstract: Multi-attribute decision making (MADM) as a component of decision science is a significant and essential aspect of engineering planning that may be utilized in a variety of contexts. Due to the complexity of real-life systems, decision-makers (DMs) may encounter several uncertainties throughout the decision-making process. Neutrosophic theory, a generalization of fuzzy set theory and intuitionistic fuzzy set theory, is an efficient tool for dealing with inconsistent, imprecise, and vague values. This paper proposes an autocratic strategy for dealing with multi-attribute group decisionmaking problems under a neutrosophic environment. The transformation of multiple management decisions and weight matrices into a uniform aggregated assessment matrix is the core aspect of the proposed decision-making strategy. The tourism sector has a unique role on the market and contributes the most to a sustainable economic growth. Due to the picturesque surroundings that may include a green forest, hills, rivers, and marshes, people could often select such a location for relaxation purposes. Therefore, the goal of this paper is to make it possible to choose the best tourist destinations from a range of available options. The proposed method is utilized for prioritizing recreation areas in a tourist industry, where the evaluated values of the attributes for the selected alternatives and the weights of the respective attributes are represented by decision‐makers based on single‐valued neutrosophic triplets.

Keywords: Neutrosophic sets, Decision making, MAGDM, Autocratic strategy, Tourism management.


Kuo-Wei LEE, An Autocratic Strategy for Multi-attribute Group Decision Making Based on Neutrosophic Triplets: A Case Study in Prioritizing Recreation Areas in the Tourist Industries, Studies in Informatics and Control, ISSN 1220-1766, vol. 32(1), pp. 15-24, 2023.