A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

Liao, Sen‐Kuei; Hsu, Hsiao-Yin; Chang, Kuei‐Lun

doi:10.1155/2018/9780565

Cited by 17 publications

(5 citation statements)

References 36 publications

(46 reference statements)

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“…This section provides a step-by-step breakdown of the stated problem using three MCDM strategies to achieve the primary goal. It also emphasizes how the entire MCDM model is constructed from the start and contributes to the attainment of the goals [59,60]. However, before we go into the methodology, let us define the scope of the investigation.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

et al. 2023

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The construction business is always changing, and with the introduction of artificial intelligence (AI) technology it is undergoing substantial modifications in a variety of areas. The purpose of this research paper is to investigate the function of AI tools in the construction industry using a hybrid multi-criteria decision-making (MCDM) framework based on the Delphi method, analytic network process (ANP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under a fuzzy scenario. The ANP framework offers a systematic approach to quantifying the relative importance of AI technologies based on expert opinions gathered during the Delphi process, whereas the fuzzy TOPSIS methodology is used to rank and select the most appropriate AI technologies for the construction industry. The final results from the ANP revealed that the technological factors are the most crucial, followed by the environmental factors, which highly influence the AI environment. In addition, TOPSIS identified robotics and automation as the best AI alternative among the three options, followed by building information modeling (BIM), whereas computer vision was the least preferred among the list. The proposed hybrid MCDM framework enables a comprehensive evaluation and selection process that takes into account the interdependencies between AI technologies and uncertainties in decision-making.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

et al. 2023

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“…As can be seen, the AHP method has also been examined in the context of sports, with particular focus on facility preference criteria. For example, Liao et al (2018) examined the location selection criteria for women's fitness centers using the AHP method, and determined that the region's female population density was the most important criterion for selection.…”

Section: Review Of Literaturementioning

confidence: 99%

“…In the process of becoming a member of a fitness center, individuals evaluate the centers in a variety of ways to determine the one that suits them (Jang & Choi, 2018). An active vitamin bar, cleaning, opening and closing hours, equipment quality and variety, air conditioning, security of the fitness center, and the presence of a personal trainer are some of these (Çakir, 2018;Liao et al, 2018). In addition, the reasons for renewing membership in fitness centers are related to factors such as equipment, physical environment, membership fee, and accessibility (Jang & Choi, 2018).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Selection Criteria and Alternatives to Renewing Membership in Fitness Centers Using an Analytical Hierarchy Process

Sevilmiş

Aydoğan

Fernández

2023

Physical Culture and Sport. Studies and Research

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The aim of the study was to determine the most suitable fitness center for members by using the Analytical Hierarchy Process (AHP) method, which identifies the criteria fitness members consider when choosing a fitness center. First, interviews were conducted with 20 fitness center members to determine the criteria. Then, the values obtained from the comparisons between the criteria, made by experts, were analyzed and evaluated using the AHP method. Eight criteria were determined: instructor qualification, interactions, cleaning, price, staff qualification, atmosphere, accessibility, equipment modernity and variety. Then alternatives to fitness centers were defined (low price, middle segment, premium) and a group of five experts was formed, consisting of members of various fitness centers and experts in sports sciences, and academics who conduct customer behavior research in fitness centers. Based on the opinions of experts, three alternatives and eight selection criteria were used in the evaluation. Alternatives are listed based on the findings. In the first phase of the study, weighting of the criteria and consistency calculations were performed, after which each criterion was weighted in relation to every alternative. As a result, the best alternative was calculated. According to the findings, price was determined to be the most important criteria in renewing fitness center membership, while premium fitness centers were determined to be the most important alternative. The research provides suggestions for reducing dropout rates and for the decision to renew memberships in fitness centers (such as flexible pricing, customer interaction, quality, and equipment modernity).

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“…In other words, this method transforms complicated systems into well-defined causal relationships. The following is the procedure for operating DEMATEL [12,31,[47][48][49][50].…”

Section: Dematelmentioning

confidence: 99%

A Hybrid MCDM Model to Select Optimal Hosts of Variety Shows in the Social Media Era

Chang

Liao

2020

Symmetry

Self Cite

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The selection of the optimal variety show hosts is a key to television stations. However, no study has a deal with this issue. In this paper, a hybrid multiple criteria decision-making (MCDM) model based on the fuzzy Delphi method, decision-making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) to choose optimal hosts of variety shows for television stations in the social media era was developed. The fuzzy Delphi method was taken as a screening tool for the selection criteria of variety show hosts. Then, DEMATEL was applied to verify the interdependencies between the perspectives. According to the interdependencies, ANP was employed to obtain weights. Finally, TOPSIS ranked the alternatives. The selection criteria were gathered from previous researches and discussions with senior executives of television stations. By the fuzzy Delphi method, 12 criteria were identified. Based on the past study and consultations with four senior executives, we classified 12 essential criteria into four perspectives to develop the hierarchy for the variety show host selection. Under the hierarchy base on four perspectives and 12 criteria, managers of television stations could select the optimal variety show hosts more effectively. The usability and efficiency of the proposed model were also considered by a case study. We offered a distinct contribution to the prior studies by providing a model in the variety show host selection field. In the context of social media competition, this study also added the selection criteria from Internet celebrities.

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A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

Cited by 17 publications

References 36 publications

Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

Analysis of Selection Criteria and Alternatives to Renewing Membership in Fitness Centers Using an Analytical Hierarchy Process

A Hybrid MCDM Model to Select Optimal Hosts of Variety Shows in the Social Media Era

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