Fuzzy AHP Approach Research Articles

Multi-expert and multi-criteria evaluation of Online Education Factors: A fuzzy AHP approach

Abstract : COVID-19 has highly impacted industry, agriculture, services sector as well as education sector all over the world. The countries have seen a complete lockdown, and it has badly affected students' lives in the education sector. Almost more than 32 crores of learners are unable to move to schools or colleges in India. The solution to overcome the offline education crisis is to move to online platforms. But, the effectiveness of online platforms for teaching is a big challenge. The most important thing in teaching is achieving the satisfaction level of students. The literature shows many factors impact satisfaction level, and these factors are ICT orientation, Big-Five Personality Dimensions, Instructor Quality, and Course Design. These factors are having subfactors four, five, seven, and six, respectively. The current study targets to prioritize the factors by using the fuzzy AHP approach. The factors are pritorized based on their normalized weight. To gain depth insights, thesub-factors are also prioritized, and they are ranked relatively as well as globally. Relatively means to figure out the important and least sub-factor from the corresponding factor, globally means to rank each sub-factor among all identified factors. The results show that BF is the most important and CD is the leastimportant factor for achieving students satisfaction level. Looking at relative weights, NE and LQ are the most important factors among BF and CD, respectively. After considering global weights, PI and AD are the most and least important sub-factors, respectively. Keywords: Online Classes, Fuzzy AHP, Instructor Quality, ICT Orientation, COVID 19

A Hybrid Approach Based on Fuzzy TOPSIS-AHP for Ranking and Classifying MOOC Key Acceptance Factors

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named ‘contingent instructor' is proposed by the authors considering pandemic and new normal post-COVID-19. The paper implements two popular fuzzy MCDM (multiple-criteria decision-making) techniques, namely fuzzy TOPSIS and fuzzy AHP, on 12 KAFs. The fuzzy TOPSIS approach is used to rank factors. Affordability, performance expectancy and digital didactics are found as the top three KAFs. Fuzzy AHP classified KAFs into three groups, namely high, moderate, and low influential. Examination of the literature indicates that this study is among the first attempt to prioritize and classify MOOC KAFs using fuzzy TOPSIS and fuzzy AHP approach. The results offer managerial guidance to stakeholders for effective management of MOOC, resulting in higher acceptance rate. Likewise, this investigation will upgrade the comprehension of MOOC KAFs among academicians.

Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach

Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach

Examining the Competitiveness in European Banking Industry with Fuzzy AHP and Fuzzy TOPSIS Approaches

This study aims to evaluate the competitiveness in European banking industry. For this purpose, 5 European countries, which have the highest GDP, are considered in this study that are Germany, France, United Kingdom, Italy, and Spain. Moreover, 6 different criteria are selected based on the literature review. Fuzzy AHP method is considered to understand the significance of the dimensions and criteria. On the other side, fuzzy TOPSIS model is used to rank these 5 European countries according to competitiveness in the banking industry. The findings show that low cost is the most significant criterion for this condition. In addition to this issue, it is also concluded that Germany and France are on the first ranks regarding the competitiveness in the banking industry. Hence, it is recommended that European banks should firstly concentrate on the cost effectiveness in order to increase the competitive power. In this framework, a detailed analysis should be conducted to understand which cost types are greater in comparison with the others. Hence, it can be possible to minimize the costs of the banks so that these banks can offer lower prices to their customers. This situation has a positive impact on the competitive power of the banks.

Modeling the effectiveness of natural and anthropogenic disturbances on forest health in Buxa Tiger Reserve, India, using fuzzy logic and AHP approach

Modeling the effectiveness of natural and anthropogenic disturbances on forest health in Buxa Tiger Reserve, India, using fuzzy logic and AHP approach

Analyzing Business Leadership Skills Under Uncertain Environment Using Fuzzy AHP Approach.

Analyzing Business Leadership Skills Under Uncertain Environment Using Fuzzy AHP Approach.

Analyzing the Critical Success Enablers of Industry 4.0 Using Hybrid Fuzzy AHP–CoCoSo Method

Industry 4.0 has emerged as a valuable solution for tackling the present-day cut-throat competition. This work aims to identify and analyze the Critical Success Enablers (CSEs) which makes the implementation of Industry 4.0 easier. These Enablers have been identified through literature exploration and expert’s discussion. Afterwards, a hybrid methodology based on fuzzy AHP and combined compromised solution (CoCoSo) method was used. Fuzzy AHP approach has been used for computation of weights of Desired Outcomes (DOs) of industry 4.0 implementation (used as a baseline for prioritization of CSEs). CoCoSo method has been used for finding the ranking of identified Enablers. Moreover, results obtained by fuzzy AHP–CoCoSo method has been validated by another hybrid methodology i.e. fuzzy AHP-proximity indexed value (PIV) method. The results obtained by using these hybrid methods are quite similar.

Application of Fuzzy AHP and Fuzzy MARCOS Approach for the Evaluation of E-Service Quality in the Airline Industry

Airlines today use e-services extensively for marketing activities and the distribution of services. Monitoring and evaluating e-service quality are essential for customers’ satisfaction and thus the success of airlines. This study aims to evaluate e-service quality in the airline industry from the point of view of the consumers. To achieve this, an integrated Fuzzy Analytical Hierarchy Process (F-AHP) and Fuzzy Measurement Alternatives and Ranking according to Compromise Solution (F-MARCOS) approach was proposed to handle the uncertain and imprecise nature of e-service evaluation. In the first stage, e-service quality criteria were prioritized using the F-AHP method. Then, a real-world case study was carried out on scheduled airlines to demonstrate the applicability of the proposed approach using the F-MARCOS method, utilizing a total sample of 395 airline passengers in Turkey. As a result, the top three e-service criteria were found as reliability, understandability and security. A three-stage sensitivity analysis was also conducted to examine the credibility and stability of the results. This study is the first study to integrate F-AHP and F-MARCOS methods for the first time in literature.

Analysing the factors affecting the selection of ERP package: a fuzzy AHP approach

Contribution of small and medium scale enterprises is significant in development of any country, specifically developing countries like India. Therefore, synchronization and integration of their business processes and functions through effective and efficient information sharing is vital. Hence, enhancing their competence through the adoption of an appropriate Enterprise resource planning (ERP) system is crucial to improve their competitiveness in the competitive scenario. Under this backdrop, this paper analyses pertinent factors for selecting an appropriate ERP system for SMEs. This mix-method research involved triangulation design by merging both quantitative and qualitative techniques. Factor Analysis was applied for selection of relevant factors affecting ERP procurement decision. Fuzzy Analytical Hierarchy Process approach, based on triangular fuzzy numbers, was used to rank these factors. Further, sensitivity analysis was performed to ensure the robustness of the FAHP results. Cost of deployment was identified as the most significant criteria. On the other hand, ‘Vendor credibility’ was found to be the least significant factor. Criterion ‘User friendliness and Security’ and ‘Need fulfilment’ were ranked as second and third. ERP vendors can use these findings in developing appropriate marketing mix strategies. SME owners can also make use of these findings by collaborating with other SMEs for buying an ERP. This study can be seen as first attempt in investigating and ranking various factors affecting ERP adoption decision for SMEs, specifically in Indian context, using FAHP approach.

ANALYSIS OF SUPPLIER SELECTION CRITERIA USING FUZZY AHP IN TEXTILE INDUSTRY IN INDONESIA

The purposes of this study are to determine the order of criteria and sub-criteria in supplier selection process by measuring the weight of each criteria and sub-criteria to find out the best supplier in each TPT industry sector for the company which become the subject of this study. The technique of collecting data is through questionnaire distribution to 5 respondents who are the experts of the company. The collected data were analysed using Fuzzy AHP approach. The result of this research will assist in giving beneficial solutions in decision making, especially in selecting the best suppliers based on supplier selection criteria and sub-criteria to supports an excellent supply chain management.

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

PRIORITY DETERMINATION OF SUBMARINE TYPE AS DEFENSE OF ARCHIPELAGIC WAR WITH FUZZY AHP METHOD AND BCR ANALYSIS

This thesis describes the application of the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) approach and Benefit Cost Ratio (BCR) analysis in submarine selection. Submarines as Main Defenses System which are highly strategic in their procurement are directed at realizing a deterrence strategy and a strategy of balancing with state actors that have the potential to threaten the sovereignty of the Indonesian state. Apart from threats, the procurement of submarines also considers Indonesia's geographic constellation and the government's wishes, such as the interest of the minister of defense during working visits to countries that offer their submarines. The first step in procurement is to make an analysis in terms of selecting submarine alternatives, both analysis of information and identification of various important and interrelated requirements regarding data from submarine alternatives that will be selected later. Uncertainty from the government is a fuzzy'nes decision, so this condition can be resolved with the Fuzzy AHP approach and strengthened by BCR analysis, so that the results can provide a higher contribution. The results obtained from the Fuzzy AHP method are the priority order of selecting alternative submarines, namely Y-Class (0.398), W-Class (0.220), X-Class (0.191) and Z-Class (0.191). Where the results of the importance of the main criteria are sequential starting from the Strategic Requirement (Strareq) criteria of 0.409, Operation Requirement (Opsreq) of 0.318 and Technical Requirement (Techreq) of 0.273. Meanwhile, based on the BCR analysis, the Y-Class submarine was also selected with a BCR value of 1.512232936.
 
 Keywords: Fuzzy AHP method, BCR Analysis, Submarine Selection.

Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping

Global Software Development (GSD) has gained great attention during the past decade or so, and it is also being adopted by most of the software development organizations. The GSD approach is practiced by the software development organizations in China and a wide range of firms have established its operations in various Chinese cities. However, GSD practices becomes more challenging for the projects based on the agile concepts. The aim of this study is to develop a taxonomy of the factors that could positively impact the scaling process of agile methods in the Chinese GSD industry. The factors are identified by exploring the available literature and conducting industrial study with the Chinese agile and GSD practitioners. The finally reported factors are categorized, prioritized and developed their taxonomy using the multi-criterion decision making (MCDM) Fuzzy AHP approach. The given taxonomy is significant and progressive for GSD industry to assess and improve the scaling process of agile methods.

Selecting the most agile manufacturing system with respect to agile attribute- technology- Fuzzy AHP approach

Selecting the most agile manufacturing system with respect to agile attribute- technology- Fuzzy AHP approach

A Fuzzy AHP Approach for Technology Transfer Problems: A Case Study of Africa and China Partnerships

The China-Africa partnership is presently facing certain setbacks, which are likely to affect their relationships if proper measures are not put in place. Hence, this study investigates the challenges affecting technology transfer between the two sides by creating a platform through which reliable solutions can be generated. Using the case study analysis and the Fuzzy AHP approach, several problems are identified in this study, including management and strategic issues, marketing concerns, technical issues, environmental difficulties, and regulatory concerns. From the analysis, the management and strategic problems are ranked the most essential in technology transfer, through marketing issues, technological challenges, environmental issues, and, thus, the regulatory problems. Such ranking helps in prioritizing which problems to address first to attain competitive technology transfer between the two sides. With the knowledge generated from the study, managers and other stakeholders involved in the China-Africa partnership will be able to facilitate the successful business relationship and ensure sustainable growth on a global scale.

Unlocking the Sustainable Production Indicators: A Novel TESCO based Fuzzy AHP Approach

Sustainable production is becoming an important slant through which business enterprises prepare for achieving sustainable development goals. The concept of sustainable manufacturing deals with the development of various items that may utilize minimum resources and are safer for the society at a reasonable price. The present research problem explores and evaluates the production indicators pertaining to the achievement of sustainability in a textile supply chain. In this research, five main indicators and twenty five sub-indicators were determined through extensive review of literature and experts confirmation. This study proposes a novel TESCO-based fuzzy AHP approach for the evaluation of sustainability dimensions of textile sector under uncertain environment. This paper investigates the key sustainable dimensions based on technical (T), ecological (E), socio-economic (S), core competencies (C) and operational (O) considerations to prioritize the sustainable production indicators (SPIs). The fuzzy analytical hierarchy process (FAHP) approach has been applied to compute the weight vectors of dimension impacting the (SPIs). The findings depict that technical indicators have significant impact whereas operational indicators have the least impact in the decision-making process of a textile sector. Furthermore, a sensitivity analysis is applied to check the robustness among the criterion ranking and suggest possible measures to improve operational business excellence. Finally, the paper brings out a more systematic decision support toolkit and implications for the concerned stakeholders to formulate the policies regarding physical production and distribution of products.

Prioritization and Ranking of indicators of sustainable manufacturing in Indian MSMEs using fuzzy AHP approach

Indian MSMEs involved in manufacturing lag behind in implementation of sustainable manufacturing practices. Therefore, Sustainability assessment plays a vital role in adopting and implementing the sustainable techniques and practices in manufacturing sectors. One of the reasons may be the lack of awareness about indicators which enable qualitative as well as quantitative assessment of level of sustainability. This further enable the organization to implement the practices, methods, technologies that enable higher sustainability of the organization. Present study attempts to identify the indicator which are vital to improving the sustainably of the organization. In this study, a set of indicators were identified and categorized based on Triple bottom line (environmental, economic and social) approach of sustainability. Further an expert opinion cum Fuzzy-AHP Based Approach was used to prioritize and rank these indicators. Present research work will be useful for industry practitioner and manger to identify the priority areas of focus to achieve improved sustainability of manufacturing organization.

Evaluation of Ergonomics-Related Disorders in Online Education Using Fuzzy AHP.

The aim of the presented work is to analyze the ergonomics-related disorders in online education using the fuzzy AHP approach. A group dialogue with online education academicians, online education students, biotechnologists, and sedentary computer users has been performed to spot ergonomics-related disorders in online education. Totally eight ergonomics-related disorders in online education have been identified, and the weight of each disorder has been computed with triangle-shaped fuzzy numbers in pairwise comparison. Furthermore, the ergonomics-related disorders in online education are kept in four major categories such as afflictive disorders, specific disorders, psychosocial disorders, and chronic disorders. These four categories of ergonomics-related disorders in online education are evaluated and compared using fuzzy analytical hierarchical process methodology to get ranked in terms of priorities. The results may be instrumental for taking appropriate corrective actions to prevent ergonomics-related disorders.

Criteria prioritisation of tourist satisfaction from long-distance transportation services: combined fuzzy AHP and SERVQUAL approach

It is necessary to identify criteria affecting customer satisfaction from transportation systems and their impact on relevant industries. This study investigates and prioritises expectations of tourists from long-distance transportation services. Tehran (capital of Iran) to Yazd is chosen as the case study of this research. SERVQUAL survey was developed and distributed on this route at different modes. First, data from survey distribution are weighted based on the importance of each criterion and sub-criteria and then prioritised using a fuzzy AHP method. The results show that responsiveness is the most crucial criterion. It also depends on the type of the trip (educational, recreational or business) that may have a significant impact on selecting the most important criteria from their perspective. The results can lead to efficiency improvements in transportation systems as well as providing better facilities to attract more tourists. These insights can help managers and policymakers in planning and promoting tourist satisfaction.

A fuzzy AHP approach to evaluating differences between ocean container carriers and their customers

A fuzzy AHP approach to evaluating differences between ocean container carriers and their customers