A contribution of fuzzy logic to sustainable tourism through a case analysis in Brazil

Paula, Luciano Barcellos de; Gil‐Lafuente, Anna M.; Alvares, Daniela Fantoni

doi:10.3233/jifs-189191

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…To further explore the preference information of the subjects, this paper adopts the fuzzy inference system (FIS) to fuzzify the exact numbers and derive the complete preference information. FIS is a widely used method for sustainability assessment [29,30]. The main steps are shown in Figure 1.…”

Section: Preference Information Measurementmentioning

confidence: 99%

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Lü

2023

Sustainability

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The adoption of Environmental, Social, and Governance (ESG) to measure the green development, social responsibility, and public interest of companies is a commonly accepted theme and approach in the industry and academia at present. As ESG assessment is characterized by heterogeneity of subjects, complexity of contents, diversity of scales, and uncertainty of weights, it has led to the variability of ESG assessment results given by different assessment organizations in the same company, which has attracted a lot of criticism. This paper proposes a group decision-making method based on the preferences of multiple subjects to solve the problem of heterogeneity of subjects in ESG assessment. Specifically, for the given ESG evaluation data, the first step is to identify the preferences of subjects and structure the initial group matrix; secondly, the fuzzy inference system is employed to mine the hidden preference information; further, the initial group matrix is revised using the preference information; and finally, the TOPSIS method is applied to aggregate the information and obtain the final ESG score and ranking of each company. This study was tested using statistics from 30 companies released by Harvest Fund in May 2021, which verified the validity and advantages of the method proposed in this paper. The proposed method integrates the preferences of heterogeneous subjects and mines the possible hidden preference information, which increases the interpretation of the information contained in the original ESG data and facilitates the achievement of group consensus.

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Section: Preference Information Measurementmentioning

confidence: 99%

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Lü

2023

Sustainability

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“…Under uncertainty, applying an algorithm based on Fuzzy Logic [14] reduces risks and facilitates decision-making [15] since the mathematics of uncertainty accurately considers the intersection of objectives and constraints within a multistage process in which human subjectivity influences the decision [16]. Moreover, the fuzzy approach allows modeling imprecision, uncertainty, or lack of information [17].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Algorithm Applied to Factors Influencing Competitiveness: A Case Study of Brazil and Peru through Affinities Theory

Barcellos-Paula,

Castro-Rezende,

Alvares

2023

Axioms

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Innovation plays a crucial role in the economy of nations worldwide. In Latin America, countries foster competitiveness through public and private incentives to support innovation. Moreover, entrepreneurship incentives seek to improve countries’ performance, although factors such as low business growth rates and informality can compromise it. Despite the efforts, there are several difficulties in achieving competitiveness, and few studies in developing countries. Therefore, the article explores the relationship between the factors that influence competitiveness, especially the role of innovation and entrepreneurship in Brazil and Peru. The research uses quantitative-qualitative methodology through modeling and simulation and a case study. The authors use the Affinities Theory to verify the relationship between the indicators that make up the competitiveness landscape and its most significant and attractive factors, adapting the methodology established by the International Institute for Management Development (IMD) World Competitiveness ranking. As a result, this algorithm allows us to know the relationships between five factors of economic attractiveness and four competitiveness indicators. As its main contributions, the study advances the frontier of knowledge about innovation and entrepreneurship, as few studies explore competitiveness in developing countries. Also, it offers a detailed explanation of the application of this algorithm, allowing researchers to reproduce this methodology in other scenarios. Practically, it might support policymakers in formulating development strategies and stimuli for business competitiveness. In addition, academic and business leaders can strengthen university-business collaboration with applied research in innovation and entrepreneurship. One limitation would be the number of countries participating in the research. The authors suggest future lines of research.

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Application of the Affinities Theory to the environmental sustainability of tourist destinations: The case of Ljubljana

Barcellos-Paula,

Castro-Rezende,

Gil-Lafuente

2024

Cleaner and Responsible Consumption

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A contribution of fuzzy logic to sustainable tourism through a case analysis in Brazil

Cited by 5 publications

References 19 publications

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Fuzzy Algorithm Applied to Factors Influencing Competitiveness: A Case Study of Brazil and Peru through Affinities Theory

Application of the Affinities Theory to the environmental sustainability of tourist destinations: The case of Ljubljana

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