Evaluating the websites of academic departments through SEO criteria: a hesitant fuzzy linguistic MCDM approach

Özkan, Barış; Özceylan, Eren; Kabak, Mehmet; Dağdeviren, Metin

doi:10.1007/s10462-019-09681-z

Cited by 31 publications

(17 citation statements)

References 41 publications

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“…In these studies, the authors used different types of MCDM methods to significantly determine the decision problem. The AHP [21,23,50], TOPSIS [22]…”

Section: Discussionmentioning

confidence: 99%

“…In these studies, the authors used different types of MCDM methods to significantly determine the decision problem. The AHP [21,23,50], TOPSIS [22][23][24], DEMATEL [25], and ANP [27] methods have been used for assessing the performance of e-commerce websites. In this study, we identified that none of the researchers utilized a Fuzzy AHP and TOPSIS-Grey model to assess the B2C e-commerce factors and sub-factors when assessing e-commerce websites in the context of China.…”

Section: Discussionmentioning

confidence: 99%

“…Step 7: Compute the alternatives' positive ideal solution distance d k+ i and negative ideal solution distance d k− i using Equations (22) and (23), respectively:…”

Section: Proposed Integrated Fuzzy Ahp and Topsis-grey Methodologymentioning

confidence: 99%

“…In Equations (22) and (23), p = 2 (Euclidean distance function), and w j is the weight of the jth criteria determined using Fuzzy AHP.…”

Section: Proposed Integrated Fuzzy Ahp and Topsis-grey Methodologymentioning

confidence: 99%

“…The effective search tool in the website refers to a web-search engine that is designed to carry advanced features for users to find out the product by defining keywords. [22,25] Availability of information to compare across alternatives (I-2)…”

Section: Benefitmentioning

confidence: 99%

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Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Sun

2020

Symmetry

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The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.

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“…In these studies, the authors used different types of MCDM methods to significantly determine the decision problem. The AHP [21,23,50], TOPSIS [22]…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Step 7: Compute the alternatives' positive ideal solution distance d k+ i and negative ideal solution distance d k− i using Equations (22) and (23), respectively:…”

Section: Proposed Integrated Fuzzy Ahp and Topsis-grey Methodologymentioning

confidence: 99%

“…In Equations (22) and (23), p = 2 (Euclidean distance function), and w j is the weight of the jth criteria determined using Fuzzy AHP.…”

Section: Proposed Integrated Fuzzy Ahp and Topsis-grey Methodologymentioning

confidence: 99%

Section: Benefitmentioning

confidence: 99%

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Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Sun

2020

Symmetry

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A novel method for weighting decision makers for failure mode and effect analysis under intuitionistic fuzzy environment

Akkus,

Testik

2024

Quality & Reliability Eng

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This study introduces an innovative method to implement Failure Mode and Effect Analysis (FMEA) in an Intuitionistic Fuzzy (IF) environment and targets inherent limitations of traditional FMEA, particularly its reliance on precise numerical values that can lead to human subjectivity and compromise accuracy of analysis. The primary aim is to increase the objectivity in evaluating Failure Modes (FMs) in industrial settings, thus enhancing safety and quality assessments. The novel approach integrates the Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) method within an IF framework. An implementation at a defense industry company is performed for evaluation of the FMs by four Decision Makers (DMs), each possessing different levels of experience and system knowledge. A key innovation of this study is the unique weighting methodology applied to DMs, based on predefined rules, which acknowledges and quantifies their varied expertise and insights. Our methodology significantly contributes to the study's practicality and significance in ranking FMs, emphasizing its effectiveness, robustness, and accuracy. The findings reveal that this method greatly reduces the subjectivity found in traditional FMEA, also providing a more detailed and reliable assessment. This is achieved by adapting the analysis to the specific knowledge levels of the DMs, leading to more dependable and objective quality evaluations in industrial processes. The application of this method in the real‐world setting demonstrates its practical relevance and potential for wider adoption.

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Selection of Contract Type in Construction Projects Using Spherical AHP Method

Camci

Çimen

Gül

2021

Advances in Intelligent Systems and Computing

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Evaluating the websites of academic departments through SEO criteria: a hesitant fuzzy linguistic MCDM approach

Cited by 31 publications

References 41 publications

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

A novel method for weighting decision makers for failure mode and effect analysis under intuitionistic fuzzy environment

Selection of Contract Type in Construction Projects Using Spherical AHP Method

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