Assessment system of condition of typical building infrastructure using fuzzy analitical hierarchy procces (FAHP) method

Purpose Since the demand for energy has dramatically increased in the countries which have fast-growing population and economy, they have faced with a critical problem of how to evaluate a set of potential energy sources (i.e. nuclear, natural gas, bio, geothermal, hydro, wind and solar) and choose the ultimate energy source for their needs. On the other hand, this critical problem turns into a multiple-criteria decision-making (MCDM) in the presence of a set of energy source alternatives and evaluation criteria. In literature, there are many MCDM methods introduced to solve for different kinds of problems. The purpose of this paper is to present an integrated approach for evaluating energy sources using fuzzy AHP and GRA, with a case for Turkey. Design/methodology/approach In this paper, the analytic hierarchy process (AHP) and grey relational analysis (GRA) methods are used because of their advantages for similar problems. On the other hand, due to the fact that the conventional AHP by a nine-point scale and GRA method using a scale with crisp values can be unable to handle to capture the right judgments of a decision-maker(s), to reflect the vagueness and uncertainty on the judgments of a decision-maker, the fuzzy logic is integrated with the AHP and GRA. Findings The contributions of the paper to the literature are given in two dimensions as follows: it presents an integrated approach for complex decision processes with subjective data or vague information; the proposed approach, the fuzzy AHP-GRA method for energy source selection, is unique for the related problem in literature. The results of the proposed model from the case of Turkey will help practitioners and experts of how to apply it to the similar problems in the field of energy management. Research limitations/implications In short, in this paper, an integrated approach is proposed through the fuzzy AHP and the fuzzy GRA methods. As the fuzzy AHP is used to determine the weights of evaluation criteria, the fuzzy GRA is used to rank energy source alternatives. Practical implications In addition, a case study for Turkey is presented to show the applicability of the proposed approach for potential practitioners who are authority in the field of energy in public and private sectors. Social implications On the other hand, the proposed approach, the fuzzy AHP-GRA for energy source selection can also be an intelligent tool for public and private energy companies in Turkey, as well as others in the world. Originality/value On the other hand, in this paper, to the best of the authors’ knowledge, the study contributes to the literature that the first time, they use the fuzzy alpha-cut AHP and GRA in fuzzy environment for energy source evaluation problem.

This chapter presents a review on risk assessment methodologies that incorporate fuzzy analytic hierarchy process (FAHP). We classify FAHP applications from the Institute for Scientific Information (ISI) Web of Knowledge database into two main categories: fuzzy singular analytic hierarchy process and fuzzy hybrid analytic hierarchy process. We considered five criteria in our taxonomy: (1) Did the study perform group decision-making? (2) Did the study differentiate each decision maker's competence according to their background and experience? (3) Did the study model the decision maker's risk attitude? (4) Did the study perform sensitivity analysis? (5) Did the study validate the proposed model? The studies are then grouped into four explanatory fields: (1) year of publication, (2) type of FAHP application, (3) main objective of the FAHP application, and (4) some observations based on the outcome of the abovementioned taxonomy analyses. In this stage, the information is summarized and depicted in appropriate tabular formats and graphical charts for a quick interpretation on review trends. Some managerial insights are then provided. Pragmatically, this work serves as a guide to researchers who are seeking for research gaps in the area of risk assessment and FAHP models.

Madrasas have a strategic role in producing a generation of the nation that is intellectually intelligent as well as spiritually and emotionally mature, but the quality between madrasas is still uneven, especially in rural areas such as Kerinci Regency. The assessment of the quality of madrasas until now tends to be subjective and has not been based on a measurable, systematic, and widely replicated system. This research aims to develop an objective and structured quality evaluation system for madrasah education using a technology-based approach. The methods used are Fuzzy Logic and Analytical Hierarchy Process (AHP) which are combined into Fuzzy AHP. The scope of the research is focused on aliyah madrasas under the coordination of the Ministry of Religious Affairs of Kerinci Regency. The data was obtained through direct interviews with the Head of the Madrasah Education Section and included eight aliyah madrasas as the object of the research, which were assessed based on nine main criteria: quality of teachers, teaching materials, infrastructure, school governance, learning environment, assessment system, leadership of school principals, parental support, and technology and digitalization. A web-based decision support system was developed to automatically manage Fuzzy AHP calculations, so that it can be used as a continuous evaluation tool. The results of the study show that this model is able to produce consistent, objective, and valid assessments with a Consistency Ratio (CR) value of < 0.1. Madrasah MA2 obtained the highest ranking in the assessment of the quality of education. The Fuzzy AHP approach has proven to be effective in multi-criteria education evaluation and can be the basis for policies that are more responsive to local needs.

Selecting process of a machine tool has been very important issue for companies for years, because the improper selection of a machine tool might cause of many problems affecting negatively on productivity, precision, flexibility and company’s responsive manufacturing capabilities. On the other hand, selecting the best machine tool from its increasing number of existing alternatives in market are multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore, in this paper, an analytic hierarchy process (AHP) is used for machine tool selection problem due to the fact that it has been widely used in evaluating various kinds of MCDM problems in both academic researches and practices. However, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). That is why; fuzzy number logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP. Shortly, in this study, an intelligent approach is proposed, where both techniques; fuzzy logic and AHP are come together, referred to as fuzzy AHP. First, the fuzzy AHP technique is used to weight the alternatives under multiple attributes; second Benefit/Cost (B/C) ratio analysis is carried out by using both the fuzzy AHP score and procurement cost, of each alternative. The alternative with highest B/C ratio is found out and called as the ultimate machine tool among others. In addition, a case study is also presented to make this approach more understandable for a decision-maker(s).

In order to evaluate the identification precision and the computational efficiency of identification indices on damage detection and provide a reasonable basis to choose identification indices for deeply developing structural damage identification, a fuzzy analytical hierarchy process is used to comprehensive analyse and assess nine kinds of identification indices. By establishing the mathematical relationship between the precedence relation matrix and the fuzzy judgement matrix, the consistency of the judgement matrix in analytical hierarchy process is effectively improved. Using above methods and based on three evaluation standards that include mean error, network scale and measuring difficulty , a fuzzy hierarchy to assess identification indices is set up. On the basis of the fuzzy judgement matrix, the performance of nine kinds of identification indices is ranked. Empirical results show that deflection, first modal shape and fundamental frequency are more suitable for identification indices than other indices. And a fuzzy judgement matrix can be established only using the relative relationship between identification indices in the fuzzy analytical hierarchy process. Thus, the fuzzy analytical hierarchy process can be convenient extended to evaluate other identification indices and effectively improve the identification precision and the computational efficiency on damage detection.

Forces carries out the task to improve effectiveness of communication command, is the important guarantee of communication support ability to ascend, the fuzzy analytic hierarchy process (AHP) to evaluate communication command efficiency, to a certain degree of communication security work guide role. This paper established the hierarchy communication command effectiveness evaluation index system. Combine and fuzzy comprehensive evaluation and analytic hierarchy process (AHP), this paper proposes a communication command effectiveness evaluation model based on fuzzy analytic hierarchy process (AHP), according to the characteristics of communication command effectiveness evaluation index and fuzzy complex assessment and objective assessment results are drawn.

Shipping logistics is one of the very important criteria which can directly and indirectly affect the economy and GDP of any country. Shipping logistics depends on various factors which have been addressed by several authors in their previous studies. Studies in this literature are focused on selecting the most impactful factors among all the criteria. Methods used in this literature are fuzzy Analytical hierarchy process (AHP) and fuzzy Technique for order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision analysis. These methods also helped in this literature to develop a new hybrid method “fuzzy TOPSIS AHP”. There have been no studies involving maritime logistics with comparative analysis of multi-criteria decision making i.e., fuzzy AHP and fuzzy TOPSIS AHP. The literature involved large number of expert opinions on the factor prioritization of maritime logistics. Factors selected for prioritization are Environmental Sustainability, Supply and Demand, Operations and Port Selection. However, the research showed that the comparative analysis of the results was quite opposite to one another and proposed a new way for researchers to use the hybrid method of fuzzy TOPSIS AHP method in future research. The study aimed to improve the existing maritime model which can help professionals to get connected with the maritime logistics firms. The study also aims to contribute this model for researchers in their study related to maritime logistics.

This study quantitatively evaluated the role of cultural diversity and psychological awareness in sustainable land-use management (SLUM). Firstly, an assessment model based on fuzzy analytic hierarchy process is established by combining fuzzy logic, expert knowledge and analytic hier-archy process. The model addresses the uncertainty of qualitative assessment and adapts to dy-namic environments and complex human behavior. The research process included a literature review and expert consultation to identify key factors influencing land use and assign weights to these factors through FAHP. Subsequently, FAHP determined that cultural diversity had the highest weight among all considerations, indicating the urgent need to respect and integrate local cultural diversity in land management. Psychological awareness follows closely, suggesting that land-use decisions are profoundly influenced not only by tangible economic and environmental conditions, but also by the psychological states, knowledge levels, value systems, and social perceptions of groups and individuals. These findings highlight the need to consider and integrate these intangible factors when developing land management strategies. This approach fosters broad social acceptance and participation, ultimately moving towards the long-term goal of sustainable land use. Finally, the study provides decision-makers with a tool for identifying subtle differences at the cultural and psychological levels that can help develop more nuanced and personalized management options for different land use strategies.

In order to evaluate the performance of complex product, a fuzzy method based on fuzzy matter-element and Fuzzy Analytical Hierarchy Process (FAHP) is proposed. According to the quality objective and performance indicators, the system index of performance evaluation model is designed. Through FAHP and the model of fuzzy comprehensive estimation, the weights of evaluation index are determined for each performance criteria. Then, the performance of complex mechanical and electrical product can be identified by using the fuzzy matter-element theory and FAHP. Finally, A case study is presented to prove the method's feasibility and validity.

Purpose – The purpose of this paper is to primarily focus on labor in maintenance areas, addressing human rights issues, labor standards and safety standards. The main issue is to investigate how these factors are considered to drive the prioritization of maintenance interventions within maintenance plans. In particular, a method for criticality analysis of production equipment is proposed considering specific labor issues like age and gender, which can be useful to steer maintenance plans toward a more social perspective. Design/methodology/approach – The authors focus on the two main social issues of SA 8000 norms, age and gender, exploring how these issues may drive the selection of maintenance policies and the relative maintenance plans. The research is conducted through fuzzy analytical hierarchy process (AHP) implemented within a failure mode effects analysis (FMEA). Findings – The research is conducted through fuzzy AHP implemented within a FMEA. The maintenance plans resulting from the FMEA driven by social issues are evaluated by a benchmark of three different scenarios. The results obtained allowed the firm to evaluate maintenance plans, considering the impact on workers’ health and safety, the environment, social issues like gender and age. Research limitations/implications – One of the main limitation of this research is that it should also encompass maintenance costs under social and safety perspective. The method developed should be extended by further study of maintenance planning decisions subject to budget constraints. Moreover, it would be worth evaluating the effect of adopting more proactive maintenance policies aimed at improving plant maintainability in view of what emerged during the test case in the presence of an aged workforce and the subsequent need to prevent and/or protect people from hidden risks. Practical implications – With reference to the results obtained from the two models of this scenario, the authors observed an increase of equipment criticality, from B class to the A class, and similarly from C class to B class. No equipment has reduced its criticality. This depends on the particular context and the relative weights of drivers indicated in its AHP matrixes. Social implications – The paper addressed the main social implication as well as other social issues represented by age and gender factors, which are normally neglected. The Action Research (AR) proved the effects resulted from considering either gender factor or gender and age factors at the same time for maintenance policy selection. All in all, an increase of criticality is evident even if “people” is a driver with less importance than “environment” and “structures.” Originality/value – The present work focussed on a new definition of a criticality ranking model to assign a maintenance policy to each component based on workers’ know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and AHP to overcome uncertainties, which can rise during a decision process when there is a need to evaluate many criteria, ranging from economic to environmental and social dimensions.

Analytic Hierarchy Process (AHP), which was originally introduced by Professor T. L. Satty, is an effective method to make a quantitative analysis for the non-quantitative analytical case. In recent years, two evaluation models based on AHP have been proposed for indoor air quality (IAQ) by the environmental experts from home and abroad. One is Indoor Assessment by the Analytical Hierarchy (IAAH), and the other is Fuzzy AHP, which is combined fuzzy computing and AHP. In this paper, the two models are constructed and respectively applied in the IAQ evaluation. Here an experiment is designed to compare them from the applicable condition in the IAQ monitoring system. The results show that IAAH is suitable for the monitoring system which makes an environmental assessment at a long interval, e.g. 1 hour and 8 hours. On the contrary, Fuzzy AHP is more suitable for that which makes an environmental assessment at a short interval, e.g. 5 minutes and 10 minutes.

Fraud on the event logs derived from business process is known as event log-based fraud. Fraud detection using event logs employs process mining technique, notably conformance checking analysis. This study proposes a method for rating event log-based fraud datasets using fuzzy analytic hierarchy process (AHP), a well-known multicriteria decision-making method. Earlier studies proposed that interval type-2 fuzzy set provides an alternative in handling uncertainty than type-1 fuzzy set. Therefore, we utilize interval type-2 fuzzy sets in fuzzy AHP in order to manage vagueness in many linguistic judgement. This study includes linguistic hedges implementation to modify the membership function of expert valuation. The experimental results showed comparable types of membership function shape and its obtained accuracy performance. Obtained accuracy from fuzzy type-1 AHP method achieved 94% for triangular membership function shape and 93.9% for interval type-2 fuzzy AHP. Although there was no escalation in accuracy after applying interval-valued fuzzy sets for all scenarios, the rank of fraud weight in each feature were altered.

The applied technology university focuses on cultivating practical skill graduates. So the quality of its graduates is an important evaluation index. Because the evaluation of graduates quality is a complex and systematic project, the Fuzzy AHP (Fuzzy Analytic Hierarchy Process) was selected to evaluate the quality of graduates in W university, which combines Fuzzy mathematics theory and AHP. With analysis, the quality of W university students is general. And the school has a good background, but the execution and feedback of theoretical and practical courses need to be strengthened. According to calculation, the weights of four categories of indicators are similar, which indicates that applied-type transformation is a systematic engineering that should pay attention to the whole process. On the other hand, the weight of graduates' employment quality is the most important index, reflecting the strong adaptability of applied-technical talents to employment environment. The technology-oriented universities should strengthen the communication with enterprises and graduates.KeywordsGraduate qualityUniversity of applied technologyFuzzy AHP

Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future.

Rapid identification of groundwater sources is crucial for emergency water supplies. Yudu County (YDC) in Southern China serves as a case study due to its typical mountainous terrain and pressing groundwater demands. To address the limitations of conventional groundwater mapping methods in large-scale areas with sparse data, this study integrates remote sensing (RS), geographic information systems (GIS), and multi-criteria decision analysis (MCDA) techniques to delineate groundwater potential zones (GWPZs) in YDC. Following a series of correlation tests, seven assessment indicators were selected from various groundwater influencing factors, including two innovative ones: terrestrial water storage change (TWSC) and spring flow. The analytic hierarchy process (AHP) and fuzzy AHP (FAHP) models were employed to calculate factor weights, and GWPZ maps were generated using weighted overlay analysis in GIS. The model performance was validated using borewell data, receiver operating characteristic (ROC) curves, and yield prediction models. Additionally, four water enrichment types and their spatial distribution were identified by field investigations and yield prediction assessments. Results indicated a remarkable similarity between GWPZs delineated by AHP and FAHP, categorized into five classes: very high (13.92% for AHP and 14.33% for FAHP), high (26.29 and 27.55%), medium (29.33 and 28.14%), low (20.66 and 21.50%), and very low (9.80 and 8.48%). The area under the curve (AUC) for FAHP was 85.09%, slightly higher than the 84.41% of AHP, while the correlation coefficient (R2 of the prediction model improved from 0.747 to 0.817 with FAHP. These findings confirmed the reliability of combining GIS and MCDA methods to delineate GWPZs, with FAHP demonstrating an advantage over AHP. The proposed methodology and resulting mapping significantly enhance sustainable water resource management and development in YDC, offering a practical framework for rapid groundwater investigations in disaster response, as well as for long-term water security planning in similar mountainous environments.