Fuzzy Analytic Hierarchy Process Method Research Articles

Selecting the Distribution System using AHP and Fuzzy AHP Methods

Selecting the Distribution System using AHP and Fuzzy AHP Methods

Assessment of polluted region using an integrated weighting approach and fuzzy VIKOR method

Air pollution exerts a profound impact on both public health and the natural environment. In India, festivals like Diwali also contaminate the air by releasing pollutants into the atmosphere. It is essential to identify the most polluted region by estimating these pollutants. Since air quality assessment involves multiple air pollutants, there may be inherent uncertainty associated with data. This study employs a fuzzy Multi Attribute Decision Making (MADM) framework fuzzy Analytical Hierarchy Process-Entropy-fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FAHP-Entropy-FVIKOR) to model the impact of air pollution as a decision-making problem to address the uncertainty and assess the air quality during the Diwali festival from 2019 to 2021 in Tamil Nadu, India. An integrated weighting approach is utilised to determine the weights of the air pollutants using a fuzzy Analytical Hierarchy Process and Entropy methods. Mainly, the fuzzy VIKOR approach is employed to rank the polluted regions. The validation of the proposed model is established through a comparative analysis using Spearman’s rank correlation with two other existing fuzzy MADM methods. Furthermore, a sensitivity analysis is conducted to evaluate the influence of priority weights and the interdependence of pollutants in determining regional rankings. The results conclude that a strong positive correlation is attained between the proposed and existing methods and the highest levels of air pollution during the festival period are observed in Gandhi Nagar (2019), Rayapuram (2020), T. Nagar, Sowcarpet and Triplicane (2021) in their respective years. These findings substantiate the consistency and effectiveness of the proposed approach.

Proportional intuitionistic fuzzy AHP method: Wind turbine selection application

The direct assignment of decimal numbers for membership and non-membership degrees of an element in intuitionistic fuzzy sets is not practical. The problem is that the expert cannot assign the same values to the degrees of membership, non-membership and hesitancy in decimal numbers for the same proposition in every attempt. Rather than the former, the assignment of proportional relationships between membership and non-membership degrees is more appropriate. We propose proportion-based models for intuitionistic fuzzy sets that include arithmetic and aggregation operators. Proportional intuitionistic fuzzy (PIF) sets require only the proportion relations between an intuitionistic fuzzy set’s parameters. These models will make it easier to define intuitionistic fuzzy sets with more accurate data that better represents expert judgments. We transform AHP method, one of the traditional multi-criteria decision making methods, to PIF AHP using PIF sets. We compare the proposed PIF AHP method by interval-valued intuitionistic fuzzy AHP method existing in the literature. A wind turbine selection problem is handled to show the validity of the proposed PIF AHP method.

Product Quality Improvement of Stainless Steel Round Trash Can with Six Sigma Approach and Fuzzy Analytical Hierarchy process Method at PT. XYZ

PT. XYZ is a manufacturing industry that produces various cleaning equipment. One of the products that has a high level of defects are trash bins made of stainless steel. The purpose of this research is to improve the quality of stainless steel waste products. The method used is Six Sigma and Fuzzy Analytical Hierarchy Process. In the Define stage, the types of defects found were body dents, scratches, spots, and rough covers. In the Measure stage, the initial DPMO value obtained is 3.422. In the Analyze stage, the results of the analysis process are defects with the highest Risk Priority Number of 280. The next stage is Improve, where defects with the highest RPN value are prioritized for proposed improvements using Fuzzy AHP. Based on the results of the Fuzzy AHP assessment, it was found that the highest weight was alternative 3, namely the machine must be cleaned regularly after being used at 0.4322, alternative 2, namely the addition of material handling to facilitate product transfer of 0.2048, and alternative 4, namely the establishment of SOPs for product handling. of 0.2041. After the Improve stage, the final stage in the form of Control is carried out to see whether the implementation of the proposed improvements has a positive impact on the company. The DPMO results obtained after implementation were 3.6061.

Application of GIS Models in Determining the Suitable Site for a Solid Waste to Energy Plant in an Urban Area

This paper deals with the establishment of a solid waste-to-energy plant that significantly reduces the volume of solid waste and produces electricity at the same time. Thirteen criteria have been identified to locate the station based on environmental, economic, and social factors to avoid its negative impacts. These criteria were addressed by combining a Multi Criterion Decision Making (MCDM) method based on the GIS software. This study aims to establish a MCDM system based on the classical AHP and validated by the fuzzy AHP method. The findings revealed that using the classical AHP and fuzzy AHP methods, there was no significant difference in decision-making between the two methods. The importance of the criteria under study has been identified based on the judgments of experts; a questionnaire was designed and conducted electronically, which was collected with the help of a weighted overlay GIS model. This technique combines multiple reclassified data in ArcGIS 10.8 software to overlay criteria layers with different weights to create a composite map of suitability categories across the study area. The outcomes revealed that 96.76% of the study area is unsuitable for establishing the station, 1.36% is moderately suitable, and 0.04% is only very suitable for station site selection. Doi: 10.28991/CEJ-2024-010-01-011 Full Text: PDF

Navigating the future by fuzzy AHP method: Enhancing global tech-sustainable governance, digital resilience, & cybersecurity via the SME 5.0, 7PS framework & the X.0 Wave/Age theory in the digital age

<abstract> <p>In the rapidly evolving landscape of the digital age, the call for intelligent governance has become paramount. This study offers a nuanced exploration of global sustainable governance, integrating the Seven Pillars of Sustainability (7PS) framework and innovation culture. Utilizing structural equation modeling and data from diverse government organizations, this research empirically established the 7PS framework's pivotal role in enhancing organizational sustainability, supported by a robust 95% confidence level. Notably, it unveiled the transformative influence of innovation culture in amplifying the 7PS's impact. The methodological innovation lies in strategically applying the fuzzy analytic hierarchy process (AHP), assigning priority weights to 7PS criteria, and identifying culture as the linchpin. This approach provided a robust framework for dissecting the complex interplay of emerging technologies, sustainable engineering, and cybersecurity. The study delves into the X.0 wave/age (X.0 = 5.0) theory, offering insights into the intricate dynamics of innovation, sustainability, and governance. Beyond academic discourse, this research informs practical strategies globally, particularly for small and medium-sized enterprises (SMEs) transitioning to SME 5.0/hybrid SMEs. Emphasizing inclusivity and diversity as catalysts for innovation, it scrutinizes contemporary challenges amid technological evolution and cybersecurity threats. Functioning as a visionary compass, the study elucidates the path to a 7PS sustainable future. It signifies a paradigm shift, transcending boundaries between knowledge domains. The fusion of the 7PS framework, X.0 wave theory, and fuzzy AHP navigates global governance, digital resilience, and cybersecurity, offering a transformative roadmap. This research contributes by substantiating the pivotal role of culture in emerging technologies, augmenting global tech-sustainable governance, fortifying digital resilience, and safeguarding cybersecurity.</p> </abstract>

Construction of Evaluation Indicator System of Festival Tourism Activity Effect Based on FAHP Method

Abstract The prevailing research on festival tourism activities remains limited in scope, and the methodologies employed are often flawed, offering little in terms of enhancing operational efficiency for festival tourism operators. This study advances the traditional Fuzzy Analytic Hierarchy Process (FAHP) by incorporating group decision-making to develop a comprehensive evaluation model termed FAHP-FCE. Furthermore, an evaluative index system for assessing the impact of festival tourism activities has been devised, encompassing economic, social, ecological, and cultural dimensions. This framework was applied in a case study conducted in Tourist City A, utilizing a specifically designed questionnaire to gauge the effectiveness of festival tourism activities within the region. The reliability and validity of the questionnaire are substantiated by a Cronbach’s alpha coefficient of 0.923 and a Kaiser-Meyer-Olkin (KMO) value of 0.925, respectively. The resulting impact scores across the evaluated dimensions—economy (3.96), society (2.87), ecological environment (2.16), and culture (2.62)—reveal that the economic benefits are the most substantial. In contrast, the environmental impacts are the most detrimental in City A. This research not only refines the assessment of environmental impacts but also enriches the methodologies and content of festival tourism effect evaluations, thereby offering fresh perspectives and methods for future inquiries.

Supplier Selection System Using Fuzzy Analytical Hierarchy Process Method for Shirt Raw Materials

The company has several suppliers to meet the needs of raw materials for t-shirt products. Currently, the selection of suppliers is considered not optimal because there are still problems that result in hampering the production process. Therefore, companies need the right way to select suppliers. This problem can be overcome using the Fuzzy Analytical Hierarchy Process (F-AHP) method. This method is a combination of Analytical Hierarchy Process (AHP) method with fuzzy concept. Fuzzy overcomes the weaknesses of the AHP method, minimizing the level of subjectivity in an assessment of AHP to get more accurate decision results. The result of F-AHP method is supplier priority with more objective results based on priority selection criteria.

Analysis and evaluation of key influencing factors on the optimization of thermal energy consumption in industrial thermal power plants

In the past, the design and operation of industrial thermal power plants did not give importance to energy consumption. Due to the depletion of fossil fuel reserves and the rising of their prices, restrictions in emission of waste gases into atmosphere, and the need to reduce production costs over the last thirty years, greater attention has been paid to optimizing thermal energy consumption. Various technical, technological, and organizational measures are undertaken to reduce thermal energy consumption. This study examines the proposals for improving the efficiency of thermal energy production in four thermal power plants in Bosnia and Herzegovina. The activities aimed at improving energy efficiency are consolidated and presented through five measures. To determine the optimal measure, the criteria for evaluating each measure are defined. These criteria are analyzed and filtered by using the ISM method, and while the fuzzy AHP method was used for their weights. Finally, the fuzzy TOPSIS method for multi-criteria optimization is applied to select the optimal energy efficiency measure for the analyzed thermal power plants. Additionally, the research defines the order of implementing the selected measures to improve the energy efficiency of the studied thermal power plants.

Analysis of Inhibiting Factors in Shipyards in Classterizing Shipyards on the Northen Coastal of ACEH Indonesia Using the Fuzzy AHP Method: A Preliminary Study

Analysis of Inhibiting Factors in Shipyards in Classterizing Shipyards on the Northen Coastal of ACEH Indonesia Using the Fuzzy AHP Method: A Preliminary Study

Modelling the factors for the launch of sovereign green bond in India using Fuzzy-AHP method

Modelling the factors for the launch of sovereign green bond in India using Fuzzy-AHP method

Determinants of employee engagement in the hotel industry: An application of fuzzy analytic hierarchy process approach

The study aims to apply the fuzzy analytic hierarchy process (FAHP) method to evaluate the priority of factors that constitute employee engagement with hotels. The theoretical review introduced and modeled five factors and 21 indicators. A pairwise comparison survey was designed and sent to experts, including university scientists, leaders of state management agencies in charge of tourism, and leaders of hotels. The research results show that the job characteristics factor is ranked as the first, the second factor is the working environment, the third factor is salary and welfare, the fourth factor is direct management, and the last ranking factor is the employee’s personality. Twenty-one indicators belonging to five factors were ranked through Liou and Wang’s (1992) method; the results showed that they ranked in the first three positions and had the most influence on hotel employee engagement as rated by experts, including recognizing employee efforts ranked first; the second factor is working together to achieve a common goal, and meaningful and purposive are ranked as the third factor. Meanwhile, the three factors with the lowest rankings, skills requirement, are ranked 19, the 20th place belongs to full facility, and the last place belongs to the sociable, enthusiastic, and friendly.

A comparative analysis of Fuzzy AHP and Fuzzy VIKOR methods for prioritization of the risk criteria of an autonomous vehicle system

A comparative analysis of Fuzzy AHP and Fuzzy VIKOR methods for prioritization of the risk criteria of an autonomous vehicle system

ДІАГНОСТИКА СТАНУ ПІДПРИЄМСТВА З ВИКОРИСТАННЯМ НЕЧІТКОГО АНАЛІЗУ

The article develops a methodical approach for assessing the overall state of an enterprise, taking into account the conditions of uncertainty in which it operates. It is based on the application of the strategic diagnostics tools, fuzzy set theory and fuzzy multi-criteria analysis. The article identifies the “state of the enterprise” concept. Diagnostics of the state of the enterprise is divided into two stages namely preliminary analysis of the general state of the enterprise and the stage of the direct assessment. We apply classic methods of strategic analysis and competitive analysis at the stage of preliminary analysis of the general state of the enterprise. The stage of the direct assessment is examined in detail. The study introduces a general algorithm for assessing the overall state of the enterprise by means of the fuzzy set theory tools. The algorithm contains seven stages: Stage 1. Establishing an expert group for assessing the state of the enterprise. Stage 2. Decomposition of the state of the enterprise into local components. Stage 3. Applying the Fuzzy AHP method to determine the importance of local components of the state of the enterprise. Stage 4. Decomposition of each local component of the enterprise’s state into assessment indicators. Stage 5. Applying the Fuzzy AHP method to determine the importance of the assessment indicators. Stage 6. Fuzzy assessment of the state of the enterprise by local components using the Fuzzy SAW method. Stage 7. Calculation of the integral assessment of the state of the enterprise applying the Fuzzy SAW method. The article provides a brief description of each of the above mentioned diagnostic stages. It is emphasized that the state of the enterprise is a multi-vector characteristic of the activity of any enterprise. For assessment, the conditional structure of the state of the enterprise is presented in the form of the local components, on the basis of which it is possible to calculate the integral indicator of the state of the enterprise. Considering the fuzziness of the source data, it is advisable to use expert assessments with their translation into triangular fuzzy numbers for assessing the state of the enterprise based on local components. We suggest applying the Fuzzy AHP method to determine the importance of the local components of the state of the enterprise and their assessment indicators and the Fuzzy SAW method to calculate the integral assessment of the state of the enterprise. Special attention is paid to the issues accompanying the process of assessing the state of the enterprise by means of a fuzzy approach. The results of assessing the state of the enterprise (in dynamics) and their interpretation allows the management of the enterprise to develop recommendations and take measures aimed at improving the local components of the state of the enterprise, and as a result, increase the level of the overall condition of the enterprise.

IDEAL LOCATION SELECTION FOR CONTACTLESS PARCEL PICK-UP POINTS

The post-Covid era has witnessed the adoption of various new habits in our daily lives, particularly in relation to the ubiquitous e-commerce platforms that have become essential for urban populations. The surge in e-commerce activities and the intensified volume in delivery of packages during the pandemic sparked innovative ideas. This study explores one such creative concept: parcel pick-up points. We conducted a pioneering research endeavor to determine the optimal locations for these pick-up points in Istanbul, Turkey. Our methodology employed a novel hybrid approach, combining the Spherical Fuzzy Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The evaluation of criteria importance was facilitated by a literature review and experienced high-level managers in the cargo industry, who determined the criteria weights using the Spherical Fuzzy AHP method. Subsequently, the TOPSIS method was employed to identify the most ideal locations, leading to the selection of Kadikoy, Umraniye, and Atasehir. This study provides valuable insights into the selection of the optimal locations for parcel pick-up points in Istanbul, Turkey, which can inform policymakers, e-commerce companies, and logistics stakeholders. The proposed hybrid approach demonstrates the integration of modern smart technologies with fuzzy decision-making techniques, offering a robust framework for decision support in the field of e-commerce logistics. Future research can further explore the implementation and effectiveness of these pick-up points to enhance the efficiency and convenience of last-mile deliveries in urban areas.

PENERAPAN SISTEM PENDUKUNG KEPUTUSAN (SPK) DENGAN MENGGUNAKAN METODE FUZZY AHP (ANALYTICAL HIERARCY PROCESS) SEBAGAI PENENTUAN PENERIMA BEASISWA PIP

Determining PIP scholarship recipients is a matter of multi-criteria decision making. For this problem, a decision support system (SPK) was built to determine PIP scholarship recipients using criteria including: family economic condition, average family income, and number of parental dependents. The method used in this problem is the Fuzzy AHP (Analytical Hierarchy Process) method. Based on the results of testing the decision support system using the Fuzzy AHP method, this research succeeded in determining students who were entitled to receive the PIP scholarship, where from all alternative PIP scholarship applicants, the final clusterization value was obtained as 25% of the alternatives were entitled to receive it and 75% of the alternatives were not entitled to receive it. Apart from that, this decision support system is dynamic in nature, where the system can handle changes or additions to criteria

Selection of Raw Material Suppliers for Injection Shoe Making Using the Fuzzy Analytical Hierarchy Process (FAHP) Method at PT. XYZ

Companies in the fashion sector are required to continue to maintain the quality of their products to survive in the local and international markets. This makes a company in Sidoarjo that produces injection shoes contribute to maintaining product quality by maintaining the quality of raw materials. Suppliers play an important role in ensuring the quality of raw materials. The company must be able to choose the right supplier in order to ensure the availability, quality, and quantity of raw materials that meet the company's criteria. This research aims to determine the best flyknit raw material suppliers based on predetermined criteria using the fuzzy analytical hierarchy process method. In this study, there are 5 main criteria in choosing a flyknit supplier, namely price, quality, delivery, service, and communication system. The results showed that the order of the best flyknit raw material suppliers at PT XYZ with the greatest value was supplier 4 with a value of 0.179. Then in second place is supplier 2 with a value of 0.178, in third place is supplier 6 with a value of 0.177, in fourth place is supplier 3 with a value of 0.175, fifth place is supplier 1 with a value of 0.161. and the last order is supplier 5 with a value of 0.129. In conclusion, the FAHP method can be effectively used in selecting suppliers of flyknit raw materials at PT. XYZ because this method provides more objective and structured results.

Risk Identification Activities Warehouse using Fuzzy AHP and Fuzzy FMEA Method

Warehouse is an important part of a company's supply chain. The supply chain of a company involves various stages of activity, including the inspection stage, product¬ion stage, marketing stage, material handling stage, and finished product stage. Problems that occur related to the handling of poor product processes have an impact on the loading process and product delivery to consumers. Resolution methods from the literature can use AHP, FMEA, Fuzzy FMEA, and Fuzzy AHP-FMEA. This research tries to integrate Fuzzy AHP and Fuzzy FMEA to get a priority ranking of risk levels and provide recommen¬dations for decisions in warehouse management. The use of fuzzy in both methods because both methods use expert opinion and fuzzy can minimize the bias value of each respondent. The result of the research is a recommendations for the priority order of improvement of various potential risks that occur in the warehouse.

Multi-criteria analysis of deep pits sustainable development strategy

Relevance. Long periods of development of steeply dipping deposits necessitate multiple adjustments of mining and technical system throughout an open pit life cycle. The decisions made determine the development strategy of a mining enterprise for a long period. The complexity of making such strategic decisions depends on numerous influencing parameters. These parameters have a different impact, have a variety of units of measurement, target values, and are not only quantitative but also qualitative. There is a need for new approaches to the choice of development strategy of the mining and technical system of an open pit, as well as its main subsystem – the opening-up of an opencast system. It is proposed to base these approaches on multi-criteria decision-making methods that consider many influencing parameters. Aim. Development of a methodology for choosing a strategy for sustainable development of the deep open pit mining and technical system based on multi-criteria decision-making methods and assessment of the opening system parameters. Objects. Mining enterprise, mining and technical systems, opening system. Methods. Literature review, system analysis, multi-criteria decision making. Results. The authors have determined the main strategies for development of the mining and technical system for deep open pits. These strategies aim at achieving the sustainable development of the mining and technical system: adjustment of the current stage mining parameters; transition to a new stage of mining; transition to a combined open-underground mining; mine closure. The key role of the opening system in the structure of the mining and technical system is substantiated to ensure its sustainable development. The authors systematized the main parameters for evaluating the pit opening system and set target values for each parameter. A review of the main multi-criteria decision-making methods used to solve various problems in the mining industry is made. A rank coefficient is proposed for choosing the mining and technical system development strategy. The calculation of this coefficient is based on a combination of the fuzzy AHP and CRADIS multi-criteria methods. A method was developed for selecting a strategy for sustainable development of the mining and technical system of deep open pits. A case study was conducted on the conditions of the Maly Kuibas open pit. The obtained results strongly suggest that the best strategy with the highest ranking is the transition to the combined development method.

Design of supply chain risk mitigation system using house of risk and Fuzzy AHP methods in precast concrete

Today's global supply chain has many risk factors. These risks include supply disruptions, supply delays, demand fluctuations, price fluctuations, and exchange rate fluctuations. Risks that arise and cannot be mitigated properly in the supply chain can disrupt the company's business processes in various sectors. Companies in the construction sector when working on construction projects face many risks during the project cycle, especially risks in the supply chain process. Partial risk management, namely only on construction projects and not specifically on the supply chain process, causes potential risks in the supply chain process not to be identified in detail, and mitigation strategies cannot be determined effectively for risks in the supply chain. This research was conducted to identify risks and determine appropriate mitigation strategies using the house of risk as a framework and a fuzzy analytical hierarchy process weighting method to select the best mitigation strategy. The research results showed that there were 26 risk events and 21 risk agents identified, and the 5 best mitigation strategies were chosen from the 10 formulated strategies for a mitigation monitoring system. Based on research results, the best risk mitigation strategy can be used as a reference for risk mitigation actions in the company's supply chain as outlined in the form of a dashboard monitoring system.