Fuzzy AHP Analysis Research Articles

Factual Analysis of Factors Influencing Consumer Cognitive Thinking and Automobile Designing using Fuzzy-AHP

Consumer cognitive and emotional responses significantly impact consumers’ affinity for both tangible and intangible products. Recent research underscores the heightened influence of consumer emotional and cognitive perceptions in product design, surpassing reliance on designers’ instincts or experiences. This case study delved into the analysis of automobiles, using cars as focal product. While visual elements like curve lines, grill design, and color predominantly shape consumer perspectives, non-visual factors such as reliability, quality, and ergonomics play a pivotal role in purchasing decisions. Our investigation, involving six industrial experts and over 130 participants, explored non-visual factors affecting consumers’ cognitive perceptions during car purchasing. Through a two-phase experimental approach, we developed a framework to understand the disparities in ranking assigned by consumers and designers to these non-visual factors, revealing perception gaps. Utilizing the rank value methodology, the Pareto principle, and Fuzzy-AHP analysis, we identified mileage/fuel efficiency, safety features, and reliability as dominant factors influencing consumer perceptions. Designers, on the other hand, prioritize safety features, reliability, and quality/warranty. Our findings emphasize the strategic significance for automobile companies to enhance their success rates by prioritizing these key factors, ultimately elevating brand value, profile, and overall financial prosperity.

AI, ESG 시대의 청소년 기업가정신 교육프로그램 개발에 관한 연구 : 키워드 네트워크 분석과 Fuzzy-AHP 분석을 중심으로

AI, ESG 시대의 청소년 기업가정신 교육프로그램 개발에 관한 연구 : 키워드 네트워크 분석과 Fuzzy-AHP 분석을 중심으로

How Do Stakeholders Perceive Transit Service Quality Attributes? – A study through Fuzzy-AHP

This study examines stakeholders’ perspective about nine major attribute sets which comprehensively define transit service quality. A novel linguistic AHP scale was used to form a judgement matrix based on experts’ opinion which simplifies the understanding between two criteria and thus respondents’ (stakeholders) fatigue and complexities reduces while filling the survey. The Saaty’s bi-directional scale is made unidirectional by applying the linguistic scale as extremely lower (reciprocal values) to equal and then to extremely higher. Stakeholders were from different fields of expertise like academia, research, policy makers, service operators or providers, and industry professionals. A judgement matrix was arrived at through Fuzzy-AHP analysis while using disaggregated and aggregated opinions of the stakeholders. The stakeholders’ opinion was analyzed as: individual stakeholders’ groups; academicians vs non-academicians; and combined opinion. One-way ANOVA test was performed to examine the similarity in decision making across the stakeholders. Though no statistical significance was found across stakeholder level, however, the perceptions vary or sync across the groups based on attributes’ inherent value or characteristics. The matrix allowed the categorization of the attributes based on their importance as highly, moderately, and least important. Higher importance has gone to infrastructure (system infrastructure, and ease and convenience) and operational attributes (Customer service, comfort, and service frequency) whereas, lower importance has gone to functional attributes (safety, security, and travel time reliability). The analysis allows us to arrive at probable weights which shall be given to the different attributes while planning for the improvements in the transit services in a geographical region.

A hybrid fuzzy based approach for industry 4.0 framework implementation strategy and its sustainability in Indian automotive industry

Recently, Indian manufacturing industries have undergone a significant transformation emphasising customer-centric objectives to meet the dynamic market's demands. To achieve this, existing industries must upgrade their existing infrastructure to a smart environment driven by automatic data exchange, transparency, and interconnected digital systems. These are the key enabling elements of Industry 4.0. As a result, many Indian industries are developing various sophisticated implementation strategies for adopting it. However, few research works and strategies contribute to its effective and successful implementation. This paper proposes two types of implementation strategies for implementing Industry 4.0 enabling technologies based on the requirements and adaptability of India's commercial vehicle manufacturing industry. The first strategy identifies various aspects of implementing Industry 4.0 enabling framework elements and categorizes it for developing implementation strategies based on India's commercial vehicle manufacturing industry. The significance of each was determined using fuzzy-AHP analysis and ranked accordingly based on the linguistic responses of the industry experts. The most significant framework element is found to be ‘Decision Making and Management Skills’. The second strategy emphasizes long-term sustainable implementation objectives. The framework elements are reconstructed and developed into a novel, customized sustainable framework based on six dimensions of sustainability. Using the Fuzzy-DEMATEL method, the causal relationships among these elements are investigated to determine a sustainable implementation strategy. ‘Central Database Server’ is determined to be the most significant sustainable framework element, while the maximum number of casual relationships is obtained from the group, ‘Skill upgradation of the workforce’. This paper proposes a novel research direction for implementing Industry 4.0 technologies into the existing industry. The findings provide several insights and strategies for technological upgradation in other industries in this geographical region. The findings of the work enhance the implementation process of I4.0 technologies, transitioning it from a conventional approach to a futuristic sustainable implementation that is economical and effective.

RETRACTED ARTICLE: Dynamics of wetland tourism in China: studying wetland tourism park service quality with post-trip tourist intention and tourism value co-creation.

The research intends to assess the dynamics of wetland tourism in China using nexus between tourism service quality, post-trip tourist intention and tourism value co-creation. The study taken the visitors of wetland parks of China as study sample and applied the fuzzy AHP analysis technique and Delphi analysis method. The results of study confirmed reliability and validity of the constructs. It is found that there is significant connection between tourism service quality and value co-creation of Chinese wetland park tourists with the mediating role of tourists' re-visit intention. The findings also lend credence to the "wetland tourism dynamics" which postulates that an increase in capital investment in wetland tourism parks increases tourism service quality and value co-creation and decrease environmental pollution in larger extent. Moreover, findings state that sustainable tourism policy and practice for wetland tourism parks of China has also a significant role in enhancing the stability in wetland tourisms dynamics. The research recommends that administrations obligation urgencies in enhancing scope of wetland tourism in a manner to enhance tourism service quality, which is essential for tourists' re-visit intention after a trip and tourism value co-creation.

Implementasi Model Manajemen Perubahan Strategis Bank Pembiayaan Rakyat Syariah di Indonesia

The complex challenges faced by BPRS in Indonesia today to maintain their existence in the mid of competition and need to be overcome by planning for strategic changes. The purpose of this study is to analyze the complexity of the problems of BPRS in Indonesia today and Its sensitive elements through a structured picture approach, and to design a strategic change management’s model. The research was conducted in Indonesia, especially the Greater Jakarta, Surabaya, Bandung, Semarang and Yogyakarta by involving the management and managerial level at BPRS. The research was carried out in December 2021 to June 2022. Research data were obtained through primary data and secondary data. The research methodology used is mixed methods which is combination beetwen quantitave and qualitative methods, Soft System Methodology (SSM) Fuzzy AHP (F-AHP) and Fuzzy ISM (F-ISM). Based on the results of the SSM analysis, it is known that the current problematic situation faced by BPRS is technological disruption, market share, economic stability, low liquidity, pandemic disruption, human resources competence, segmentation rules and the absence of suitable product or service differentiation and unique. Based on the F-AHP analysis, the strategy that is considered the most reliable and a top priority in the strategic change management model strategy of BPRS in Indonesia is strengthening the policies and institutional regulations of the BPRS. The results of the F-ISM analysis show the most optimal institutional model and strategic change management model for Sharia Rural Banks in Indonesia. Keywords: BPRS, Change Management, Sharia, Fuzzy AHP,Fuzzy ISM

Analysis of Taiwan Emergency Physicians’ Core Competencies Based on ACGME Criteria

The development of physicians’ core competency is related to the quality of medical practice. Accordingly, knowing how to cultivate and evaluate core competency is an important issue for medical education and management. This study used the comprehensive core competency framework proposed by the Accreditation Council for Graduate Medical Education (ACGME) and employed fuzzy AHP (FAHP) and DEMANTEL methods to analyze the weight and priority, as well as the cause-and-effect cluster. The FAHP analysis yielded the following rankings of factors’ importance: (1) patient care (C1; 27.83%), (2) medical knowledge (C2; 20.77%), (3) professionalism (C5; 17.93%), (4) interpersonal and communication skills (C4; 17.41%), (5) practice-based learning and improvement (C3; 15.52%), and (6) systems-based practice (C6; 8.233%). In terms of the DEMANTEL, the effect cluster included patient care (C1), professionalism (C5) and systems-based practice (C6), and the cause cluster included medical knowledge (C2), practice-based learning and improvement (C3), and interpersonal and communication skills (C4). The findings showed that patient care (C1) results from attitudes, patience, and the other five ACGME Core Competencies. Furthermore, emergency physicians’ development also requires humanities and ethics training and practice to ensure practice-based learning (C3). This study demonstrates the importance of various factors in developing emergency physicians’ core competencies, and the findings may provide a reference for future attempts at such competency development.

Identification and assessment of disruption claim management risks in construction projects: a life cycle-based approach

PurposeThe purpose of this paper is to propose a disruption claim management (DCM) life cycle and a risk management framework to provide comprehensive guidance to construction practitioners for facilitating effective and efficient DCM.Design/methodology/approachDCM life cycle was initially developed through a focus group discussion (FGD) with the participation of the construction practitioners who have diverse experiences about DCM. The life cycle is comprised of 6 phases and also includes proper reactions of the owners and contractors. Then, 42 risk factors that can impact the deliverables of DCM were identified through a literature review and an additional FGD session. This was then followed by a Fuzzy Analytical Hierarchy Process (FAHP) which was performed to evaluate the importance of each risk factor in terms of the factor's impact on the success of DCM. Additionally, consistency analysis was performed to further maximize the reliability of the results.FindingsFindings revealed that a proactive and systematic approach should be adopted and DCM practices should be initiated before any disruption event is triggered. Accordingly, the proposed framework recommends DCM practices to be initiated early in the contract development phase since compensation for the disruption might be recovered only to the extent that the contract permits. The contract-related risks were given top priority by the experts so that the results of the fuzzy AHP analysis also verified the significance of the contract development phase. Besides contract-related risks, risks related to insufficient site observation, ignorance of the project team, cognitive bias and conflict of interest were determined as the most significant DCM risks, needing an urgent and sophisticated risk response plan. Lastly, results suggested that “Site observation and record-keeping” is the most formidable phase since the phase's implementation on a continuous basis could create unforeseen organizational challenges such as mismanagement of project records, especially in the dynamic and turbulent environment of the construction projects.Originality/valueDisruption – which is caused mostly by change – is inevitable in construction projects due to their sophisticated nature. DCM, therefore, becomes crucial to compensate losses of contractors and eliminate or diminish the prolonged dispute resolution process. Existing studies, however, do not provide a comprehensive theoretical basis for the DCM life cycle and DCM life cycle's potential risks so that DCM life cycle's promising benefits can hardly be materialized. Thus, developing a DCM life cycle and associating DCM life cycle with risk management, this study is highly believed to make a promising theoretical contribution to the DCM domain since this is one of the earliest attempts in the literature. Additionally, this research provides construction practitioners with an insight into the effective implementation of DCM practices in construction projects.

Fuzzy-based multicriteria analysis of the driving factors and solution strategies for green infrastructure development in China

Global efforts are underway to mitigate and adapt to the adverse impacts of climate change. Green infrastructure development (GID) has been a centre of attention for the policymakers, experts, and the governments as an indispensable development. Similarly, The Chinese government has also put forth serious policy initiatives to promote GID in the economy. However, there is immense potential to turn traditional infrastructure into green infrastructure. For this objective to achieve, the identification, analysis, and prioritization of driving factors and strategies for GID is imperious. The present study serves this purpose by identifying 10 driving factors, 38 sub-factors, and 5 alternative solution strategies to GID in China. The study uses a fuzzy-based multi-criteria decision support framework for the analysis. The Fuzzy AHP analysis revealed global drive to GID, environmental benefitting factors, and economic benefits as leading driving factors of GID.. The evaluation and prioritization of alternative solution strategies for GID through Fuzzy WASPAS concludes the strategy of green infrastructure (GI) in urban areas as the best strategy to develop GI. The study provides a comprehensive and more in-depth understanding of GID in China. The findings of the study would support the policymakers, managers, and governments to stimulate the GID process.

Multicriteria decision making taxonomy of code recommendation system challenges: a fuzzy-AHP analysis

The recommendation systems plays an important role in today’s life as it assist in reliable selection of common utilities. The code recommendation system is being used by the code databases (GitHub, source frog etc.) aiming to recommend the more appropriate code to the users. There are several factors that could negatively impact the performance of code recommendation systems (CRS). This study aims to empirically explore the challenges that could have critical impact on the performance of the CRS. Using systematic literature review and questionnaire survey approaches, 19 challenges were identified. Secondly, the investigated challenges were further prioritized using fuzzy-AHP analysis. The identification of challenges, their categorization and the fuzzy-AHP analysis provides the prioritization-based taxonomy of explored challenges. The study findings will assist the real-world industry experts and to academic researchers to improve and develop the new techniques for the improvement of CRS.

A Study on the Importance of the Settlement Plan of the Three Lease Laws Using Fuzzy-AHP Analysis

본 연구의 목적은 임대차3법의 시행으로 인해 발생하는 문제점에 대한 개선방안의 중요도 를 평가하고 정착방안을 모색하고자 한다. 이를 통해 주거안정을 위한 시행과정에서 불필요한 시행착오를 제거하고 우선적으로 개선해야할 개선방향을 도출하고자 한다. 연구의 방법은 쌍대비교 방식 설문을 통한 개선방향에 관한 우선순위를 묻는 전문가 유효응답자 41명을 대상으로 진행하였다. AHP는 비록 전문가 설문일지라도 두 변수의 가중치를 반드시 선정해야 하는 방법으로 결과의 순위가 치우칠 수 있는 단점이 있다. 이를 보완하기 위해 절대적 지표를 사용하여 AHP결과에 가중치를 부여하는 Fuzzy-AHP 분석한 결과 그 결과 표준임대료 도입, 장기적인 공급확대, 임대인·임차인 공평·형평성 개선안 마련, 임대인의 계약체결 침해 방지책 마련, 편법 전월세 계약 모니터링 강화 순으로 나타났다. 임대차3법이 조기 정착되기 위해서는 무엇보다 부동산시장의 투명한 표준임대료를 도입해야 한다. 임대료의 투명성은 임대차계약의 혼란과 분쟁을 방지할 수 있기 때문이다.

Analysis of core risk factors and potential policy options for sustainable supply chain: an MCDM analysis of Saudi Arabia's manufacturing industry.

Sustainable supply chain management (SSCM) has been a tough challenge for developing economies like Saudi Arabia. Implementation of SSCM practices in the manufacturing industry has been prone to multiple risk factors that need to be identified, evaluated, and prioritized especially considering the dynamics of the manufacturing industry in a developing economy. Moreover, it is also imperative to trace out feasible and sustainable strategies to overcome the risks to SSCM practices adoption. This study serves this purpose and identifies, evaluates, prioritizes the risk factors, sub-factors, and strategies to overcome these risk factors in the implementation of SSCM practices in the manufacturing industry in Saudi Arabia. An integrated multi-criteria decision analysis approach by combining fuzzy AHP and fuzzy WASPAS methods is employed for the analyses. The fuzzy AHP analysis results show that economic risks are dominant risks followed by the managerial policy risks and environmental risks in implementing SSCM. Industrial emissions are the leading risk factors in the overall ranking of the sustainable supply chain sub-risk factors followed by market dynamics, management policy failures, financial constraints, and credit uncertainty. While evaluating the sustainable supply chain strategies using fuzzy WASPAS, it is concluded that commitment and support of top, middle, and lower level management is the most pivotal strategy to deal with the risks to SSCM in Saudi Arabia followed by establishing environmental policies and goals to adopt SSCM, and provision of the financial resources and subsidies.

Important Factors in the Development of Biopharmaceutical Logistics Centers

Human life is at the center of the fourth industrial revolution in the pharmaceutical trade. One of the major factors driving the growth of pharmaceuticals is the rapid growth of biopharmaceuticals. The global biopharmaceutical market is showing steady growth, and the current share of 20% of the drug market is expected to expand to 70% within the next 20 years. The domestic biopharmaceutical market has also turned into a trade surplus due to an increase of exports in 2017. Currently, there are no studies on the establishment of biopharmaceutical distribution centers. Therefore, in this study, it was assumed that the factors needed for the establishment of existing logistics centers and biopharmaceutical logistics centers would differ. In this study, three factors were extracted from a fuzzy AHP analysis – facility, location, and cost. In addition, 11 detailed factors were indicated, and their importance depended on temperature management devices, convenience of transportation, and the establishment of a logistics information system. Thus, facilities are more important in biopharmaceutical logistics centers than general logistics center.

A Piecewise Linear FGM Approach for Efficient and Accurate FAHP Analysis: Smart Backpack Design as an Example

Most existing fuzzy AHP (FAHP) methods use triangular fuzzy numbers to approximate the fuzzy priorities of criteria, which is inaccurate. To obtain accurate fuzzy priorities, time-consuming alpha-cut operations are usually required. In order to improve the accuracy and efficiency of estimating the fuzzy priorities of criteria, the piecewise linear fuzzy geometric mean (PLFGM) approach is proposed in this study. The PLFGM method estimates the α cuts of fuzzy priorities and then connects these α cuts with straight lines. As a result, the estimated fuzzy priorities will have piecewise linear membership functions that resemble the real shapes. The PLFGM approach has been applied to the identification of critical features for a smart backpack design. According to the experimental results, the PLFGM approach improved the accuracy and efficiency of estimating the fuzzy priorities of these critical features by 33% and 80%, respectively.

Prioritization based Taxonomy of Cloud-based Outsource Software Development Challenges: Fuzzy AHP analysis

Cloud-Based Outsource Software Development (COSD) is a new methodology adopted by organizations to develop software using teams of knowledge workers located across the globe using cloud computing services. However, there is a lack of understanding of challenges associated with successful execution of COSD projects. The objective of this study is to identify and prioritize the challenges that influence COSD projects. First, we conducted a Systematic Literature Review (SLR) and identified 21 challenges that impact COSD projects. Next, a questionnaire survey was developed based on the SLR findings to collect feedback from industry practitioners. Finally, we applied the Fuzzy Analytical Hierarchy Process (FAHP) to rank the identified challenges for COSD projects. We also present a prioritization-based taxonomy of the identified challenges which will help practitioners to focus on the critical areas for successful implementation of COSD projects.

Using fuzzy-AHP and parametric technique to assess soil fertility status in Northeast of Iran

A good understanding of the levels and distribution patterns of soil properties and/or quality indicators is a prerequisite for developing sustainable agricultural land management programs. Traditional assessments of these parameters of soil fertility status are somewhat costly, in both economics and time aspects. Different modelling techniques have been proposed as a useful tool for determination of soil quality indicators and development of soil fertility maps, but to what extent these results are reliable remains under-quantified in many regions worldwide. To address this uncertainty, Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) and Parametric analyses were conducted to ascertain the soil fertility status of a semiarid region in the Northeast of Iran for some selected crops: alfalfa, corn silage, potato, sugar beet, tomato and wheat. The Fuzzy-AHP and Parametric techniques using soil suitability indices were estimated for each crop and each soil delineation was achieved by Ordinary Kriging. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used as a compensatory method to allow tradeoffs among the selected criteria. Our results demonstrated that from the Fuzzy-AHP analysis, the soil fertility indices ranged from moderate to high for production of alfalfa; from low to high for production of corn silage and sugar beet; moderate to high for production of potato and tomato; and from low to moderate for production of wheat. However, the parametric analysis showed soil fertility classes ranging from very low to high for production of all the selected crops. High correlations were also observed between soil fertility indices predicted by both models. Similarly, the capacities of both models to predict soil fertility status for production of the selected crops were also highly correlated. The preference for the cultivation of the selected crops based on the Fuzzy-AHP analysis was sugar beet > corn silage > wheat > alfalfa > tomato > potato. On the other hand, using Parametric techniques, the crops preferences for cultivation ranked as corn silage > wheat > alfalfa > sugar beet > tomato > potato. We concluded that the findings would help to develop sustainable plans of cultivation based on patterns related to soil fertility classes depending on each crop’s requirement.

Prioritization Based Taxonomy of DevOps Challenges Using Fuzzy AHP Analysis

The DevOps (development and operations) is a collaborative software development environment which offers the continues development and deployment of quality software project within short time. The DevOps practices are not yet mature enough, and the software organizations hesitate to adopt it. This study aims: 1) to explore the DevOps challenges by conducting systematic literature review (SLR) and to get the insight of industry experts via questionnaire survey study and 2) to prioritize the investigated challenges using fuzzy analytical hierarchy process (FAHP). The study findings provide the set of critical challenges faced by the software organizations while adopting DevOps and a prioritization-based taxonomy of the DevOps challenges. The application of FAHP is novel in this research area as it assists in addressing the vagueness of practitioners concerning the influencing factors of DevOps. We believe that the finding of this study will serve as a body of knowledge for real world practitioners and researchers to revise and develop the new strategies for the successful implementation of DevOps practices in the software industry.

Combining Both ends of pipe treatment and cleaner production – A Case study of tofu SME in Bogor

The implementation of cleaner production in tofu SME has limited challenges such as financial factors, a commitment of the owner and waste generation instead. To elaborate cleaner production with waste management by means end of pipe treatment, this paper was described identifying the process of cleaner production options, dealing with tofu SME’s owner and implementing significance options. The Goals of the paper were to choose the appropriate strategy for implementing cleaner production and to implement a wastewater reactor for organic parameters removal. Based on fuzzy AHP analysis, priority options were obtained, namely batch anaerobic reactor installation and workers training (0.336), both biogas installation and equipment maintenance (0.377) and continuous waste treatment plant and soybean machine’s grinding installation (0.287). The effectiveness of the biogas reactor after installed reaches 90% respectively, with the length of detention time fulfilling the design criteria of 12.4 days.

Prioritising the risks in Halal food supply chain: an MCDM approach

PurposeRisk in the Halal food supply chain is considered as the failure to deliver the product which complies with Halal standards. The purpose of this paper is to identify the risk elements associated with Halal food supply chains and prioritise them appropriately towards better management.Design/methodology/approachThis research used a systematic literature review to identify various risk elements in the Halal food supply chain and consolidate them with the expertise of professionals and academicians. Further, the fuzzy analytic hierarchical process (fuzzy AHP) is applied to prioritise the identified risk elements.FindingsThe findings of the research suggest that “supply-related risks” are the most prominent risk. Raw material integrity issue is a vital element in the Halal food supply chain. The failure of the supplier to deliver material that complies with Halal standards reduces the industrial economic advantage. This study recommends that the integration of internal processes and outsourcing elements can mitigate the risk of the Halal food supply chain by having a holistic view of the processing and delivery of Halal foods.Research limitations/implicationsSystematic literature review and experts’ opinion are used to identify and consolidate risks. For the literature review, only the SCOPUS database is used; thus, there is a chance to overlook some risk elements. Additionally, the fuzzy AHP analysis depends on relative preference weight. Therefore, care should be taken while constructing a pairwise comparison matrix for risk elements.Practical implicationsThe findings of the study can help the managers who have a holistic view on risk mitigation of the Halal food supply chain. This study may assist managers to share information about the processing of Halal food from top to bottom to manage risk.Originality/valueThis study may act as a baseline for undertaking future research in the area of risk management of the Halal food supply chain.

A customer oriented methodology for reverse engineering software selection in the computer aided inspection scenario

Industrial metrology of mechanical components has been facing a gradual revolution recently through the application of contactless 3D scanners in computer aided inspection. Following the industrial trend and request, new modules for quality control activities on scan data have been integrated in reverse engineering software packages.The aim of this work is to propose a structured methodology for the screening and comparison of reverse engineering programs that are suitable for inspection activities. Specific features that distinguish this kind of software are described and detailed. Six different commercial software are tested using invariant scan data from a reference part that was specifically designed for inspection purposes.The selected packages are then compared by means of a multicriteria fuzzy AHP analysis that considers quantitative and qualitative criteria. The criteria were grouped into three categories related with the user, the vendor and the technical requirements. Two different scenarios are considered for the choice of the software that best suits to computer aided inspection activities.