Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy MCDM Approach: A Theoretical Framework

Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been created for Turkey.To overcome uncertainties in decision making process, the fuzzy set theory (FST) is suggested.For this aim, two of the most known MCDM methodologies are reconsidered by using type-2 fuzzy sets.Fuzzy Analytic Hierarchy Process (FAHP) based on interval type-2 fuzzy sets is constructed and is used to obtain the weights of the criteria affecting energy alternatives. To rank the energy alternatives, the other MCDM method that is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is fuzzified by interval type-2 fuzzy sets. The proposed integrated MCDM methodology based on interval type-2 fuzzy sets is applied to obtain a road map of energy policies for Turkey.

The multi-criteria decision-making (MCDM) method often entails a number of steps, such as identifying the decision problem, defining the criteria, calculating the weighting of the criteria, assessing the alternatives against the criteria, and finally choosing the best alternative based on the overall evaluation. In this paper, the essential factor for sports, politics, journalism or media, and technological empowerment of women in India are found by MCDM techniques, which may also be utilized to examine the key factors influencing women’s empowerment. The uses the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) MCDM methodologies are taken to discover the optimal criteria for empowerment. The decision-making for finding the factors is done by taking multi experts’ opinions. First, determined the best criteria among the six criterion’s, such as Family Support (C1), Financial Support (C2), Cultural and Religious Barrier (C3), Child Marriage (C4), Nutrition (C5), and Shame and concealment (C6). The weights are calculated by the AHP method. According to the importance of the criteria, select a significant alternative for empowering women in many fields. Also take six possibilities into consideration, which are Empowerment in Sports (A1), Empowerment in Politics (A2), Empowerment in Administrative Service (A3), Empowerment of Journalism or Media (A4), Empowerment for Social Work (A5) and Empowerment of Technological (A6) and they are ranked by TOPSIS method. To verify the validity and robustness of our result, sensitivity analysis is performed by removing some criteria to make sure the procedure is reliable and a comparative study using a fuzzy environment.

Comprehensively examining costs and benefits in supplier selection makes the right choice challenging Globalization increases alternatives, yet selecting the most appropriate remains difficult. Therefore, the use of scientific methods is critical when choosing among alternatives. Such methods not only facilitate the decision-making process but also enable more accurate and reliable outcomes. In the public sector, outsourcing supplier selection is typically conducted through a tender-based process, where cost is primary; however, relying solely on it can lead to suboptimal decisions. Public procurement processes proceed by identifying needs, making announcements, and inviting companies to participate in the tender. Multi-Criteria Decision-Making (MCDM) methods are commonly used tools for addressing complex problems with multiple factors, such as supplier selection. MCDM methods allow decision makers to evaluate each criterion for all alternatives and determine the option that best meets the desired requirements. Furthermore, techniques such as fuzzy logic within MCDM methods go beyond numerical data and enable decision makers to evaluate the criteria and alternatives with more understandable linguistic expressions. Although supplier selection problems are frequently examined using Fuzzy AHP and Fuzzy TOPSIS methods, studies specifically focusing on the public sector remain limited. This study addresses the problem of selecting a cleaning company. It integrates Fuzzy AHP and Fuzzy TOPSIS, aiming first to determine criteria weights using Fuzzy AHP and then to identify the most suitable supplier via Fuzzy TOPSIS. The study was implemented as an alternative method to tender-based outsourcing company selection in the public sector and is deemed beneficial.

Background: Uncertainty is a common factor in every real-life decision-making problem. Possibility theory is one uncertainty theory in Fuzzy sets (FS). The possibility-based decision-making under a fuzzy environment is a significant multi-criteria decision-making (MCDM) method. Methods: A bipolar FS is an extension of a fuzzy set. With the bipolarity concept, we can handle both positive and negative thoughts. In this study, we have provided a possibility mean of a bipolar fuzzy number. We have developed a ranking method for bipolar fuzzy numbers using this pos-sibility concept. A novel possibility MCDM method is suggested for solving the water resources management (WRM) in the Nagpur area, Maharashtra State, India. Results: The MCDM technique is an effective tool for solving WRM problems in an area. Many uncertainties and bipolarities occur together in Nagpur water resources. WRM technique with fuzzy is one approach that can be used to solve the area's water problem. We have used the pro-posed MCDM to address the water-related issues of this district. With this proposed MCDM method, numerically, we employed water resource problems under a bipolar fuzzy environ-ment. Conclusion: The Nagpur area is covered by Basaltic rock and faces water shortage. The district is experiencing severe water shortages. Groundwater, surface water, and rainfall are three water resources considered as alternatives. According to the proposed MCDM technique in Nagpur district, Groundwater is the best water source from three flanks: quality of water, affordability, and availability.

An innovation of Renewable Energy (RE) sources promises to bring down costs and starts to deliver a clean energy future without compromising reliability. Renewable energy resource selection comes under the domain of multi-criteria decision making (MCDM) problem as it includes multi-conflicting criteria, namely social, technological, environmental, economic, and political. MCDM methodologies are used in order to select preferred alternative resources because of the presence of complexities in energy planning and energy projects. This paper presents an integrated TOPSIS-Z MCDM method for the selection of optimal RE. The pairwise decision matrix is formed by the decision-makers (DM), which is represented in the Z-number, and weights are evaluated. TOPSIS is used to evaluate and rank suitable RE sources. To validate the efficacy of the proposed methodology, Spearman’s Rank Correlation Coefficient (SRCC) is used and the proposed methodology is compared with various other MCDM methods such as ARAS, VIKOR, and COPRAS.

Many problems such as delamination, cracking, fiber tearing, ovality, and surface roughness are encountered in the drilling of glass-fiber-reinforced composite (GFRP) materials. In this study, the percentage of multi-walled carbon nano tube (MWCNT), cutting tool type, feed rate, and cutting speed were selected as control factors during the drilling of MWCNT-reinforced GFRP nanocomposites. The quality characteristics of the drilling process were determined as surface roughness, delamination, torque, and thrust force. The experiments were carried out in accordance with the Taguchi L27 orthogonal array. The lowest values obtained because of the experiments were Ra = 4.95 µm, Dm = 1.099, T = 14.78 N, and F = 44.24 N, respectively. However, since each of these outputs were obtained from different experimental trials, different multi-criteria decision-making (MCDM) methods were used to optimize all outputs at the same time. First, the criteria were weighted using the fuzzy AHP method, and then the outputs were optimized using multi-criteria decision-making methods (i.e., GRA, WASPAS and VIKOR). Very close optimal ranking was obtained in all three methods. The best results were obtained for Ra = 4.86 µm, Dm = 1.13, T = 55.57 N, and F = 48.00 N. In the next step, the performance values obtained from each MCDM method were re-optimized using the Taguchi S/N ratio method. By comparing between these models, a single optimal condition for drilling is proposed. Accordingly, A2B3C1D1 (Ra = 4.86 µm, Dm = 1.10, T = 17.47 N and F = 48.33 N) for FAHP-GRA and FAHP-WASPAS and A2B3C2D2 (Ra = 5.02 µm, Dm = 1.09, T = 37.19 N and F = 45.01 N) for FAHP-VIKOR were determined as the best performing experiments. Finally, validation tests were conducted to compare the performance of the experiments. As a result, the FAHP-GRA and FAHP-WASPAS optimization with Taguchi S/N gave an unweighted improvement of 82.9% and a weighted improvement of 10.04% compared to the results of the experiment with MCDM. Compared to the results of the experiments with MCDM, S/N FAHP-VIKOR provided an unweighted improvement of 52.75% and a weighted improvement of 8.19%. According to the results obtained, for this study, FAHP-GRA and FAHP-WASPAS are more effective optimization methods than FAHP-VIKOR.

Various fields of endeavours have seen the increasing application of multi criteria decision making (MCDM) methods, this includes web application security as new challenges arise in the sector. More MCDM methods are being created and existing methods are combined to give better solutions. This paper performs a review of selected works that are related to the use of MCDM in web application security, examining the methods used, applications and results. Twenty one works were reviewed, with ten papers critically analysed, all published between 2014 and 2023. They were analysed based on MCDM techniques used and security evaluation methods. Results from this review shows that combined MCDM methods were more effective in addition to AHP, TOPSIS and fuzzy-techniques being prevalent. The review carried out in this paper provides a clear insight on various potential applications of MCDM in web application security. Keywords: Multi Criteria Decision Making (MCDM); Web Application Security; Literature Review Proceedings Citation Format Abdulraheem, A.O., Adepoju, S.A., Ojerinde A.O. & Abisoye, O.A (2023): A Brief Overview on Applications of Multi Criteria Decision Making Methods in Web Application Security. Proceedings of the Cyber Secure Nigeria Conference. Nigerian Army Resource Centre (NARC) Abuja, Nigeria. 11-12th July, 2023. Pp 59-66. https://cybersecurenigeria.org/conference-proceedings/volume-2-2023/ dx.doi.org/10.22624/AIMS/CSEAN-SMART2023P8

PurposeStaffing is one of the most influential human resource (HR) activities and is the primary method of hiring and retaining human resources. Among staffing’s several activities, recruitment and selection are one of the most crucial activities. It is possible to rehire former firm employees using the talent management strategy known as “boomerang recruitment”. The boomerang recruitment trend has tremendously grown because many employees who believe they are qualified for the position now wish to return to their old employers. According to data, boomerang employees can be 50% less expensive than conventional ways of hiring. The purpose of this study is to identify the generic critical factors that play a role in the boomerang hiring process based on the literature review. Next, the objective is to determine the relative weight of each of these factors, rank the candidates, and develop a decision-making model for boomerang recruitment.Design/methodology/approachThis paper focuses on the grey-based multicriteria decision-making (MCDM) methodology for recruiting some of the best candidates out of a few who worked for the organization earlier. The grey theory yields adequate findings despite sparse data or significant factor variability. Like MCDM, the grey methods also incorporate experts' opinions for evaluation. Furthermore, sensitivity analysis is also done to show the robustness of the suggested methodology.FindingsSeven (7) recruitment criteria for boomerang employees were identified and validated based on the opinions of industry experts. Using these recruitment criteria, three candidates emerged as the top three and created a pool out of six. In addition, this study finds that Criteria 1 (C1), the employee's past performance, is the most significant predictor among all other criteria in boomerang hiring.Research limitations/implicationsSince the weights and ratings of attributes and alternatives in MCDM methods are primarily based on expert opinion, a significant difference in expert opinions (caused by differences in their knowledge and qualifications) may impact the values of the grey possibility degree. However, enough attention was taken while selecting the experts for this study regarding their expertise and subject experience.Practical implicationsThe proposed method provides the groundwork for HR management. Managers confronted with recruiting employees who want to rejoin may use this model. According to experts, each attribute is not only generic but also crucial. In addition, because these factors apply to all sectors, they are industry-neutral.Originality/valueTo the best of the authors’ knowledge, this is the first study to apply a grey-based MCDM methodology to the boomerang recruitment model. This study also uses an example to explain the computational intricacies associated with such methods. The proposed system may be reproduced for boomerang recruiting in any sector because the framework is universal and replicable. Furthermore, the framework is expandable to include new criteria for different work.

Multi-criteria decision-making (MCDM) is a powerful judgement tool for complicated domains where the selection of optimal alternative is difficult. Multi-criteria effective decision-making theory and practice are examined in depth by this overview work. Identifying and recommending the most robust and successful ways for identifying the greatest alternatives is the primary goal. An issue in fuzzy MCDM procedures is also addressed in this survey investigation. More and more organisations are using multi-factor analysis to make better decisions in various areas. If numerous criteria have emerged, the best alternative may be found by assessing the scope and weights of the criteria and selecting the optimum ones using any MCDM methodology. The MCDM method helps to find best alternatives where many criteria have emerged. FMCDM methodologies and applications are examined in this detailed examination.

Selection of discrete multiple criteria decision making methods in the presence of risk and uncertainty

Prioritizing failures by using hybrid multi criteria decision making methodology with a real case application

Purpose:-Hospitals are very vital as an element in Quality Care delivery and their evaluation in these terms on perpetual basis are much needed as these organizations contribute in improving health outcomes for general people. Hospitals, especially privately owned, are also run like businesses these days to remain competitive in the respective arena. The environment and situation faced by many hospitals are often complicated and which definitely requires insightful solutions to steer the direction of these businesses. This study was focused on the application of group decision-making tool, DEMATEL as one of the valid methods in Multi-Criteria Decision Making (MCDM). Methodology:- The study was exploratory in nature and efforts were made to justify by highlighting the criteria prioritization procedure to be undertaken by any healthcare organization. A slight deviation from the standard four-steps of DEMATEL, a course of action was created in the shape of an eight-step procedure to exhibit a practical approach rather than mathematical theory approach. In order to make it more empirical in nature, a five-stage research framework was also devised and acted upon with the help of three separate questionnaires. Avedis Donabedian’s (1988) Quality Care framework was followed and multiple variables were devised, importance ratings were collected from patients on these devised variables and after reduction of variables in to manageable latent factors, called criteria in the study, DEMATEL method was applied to depict the prioritization of Quality Care criteria for the delivery of quality service via digraph. Findings:-The graphical representation through digraph showed that criteria were vertically divided in two halves as C1, C5, and C4 are shown as criteria influencing the lower half criteria C3, C6, and C2. The horizontal span of digraph reflected the importance of criteria prioritized and showed C1 criterion as the most important and C2 criterion with the least importance. Implications:-The prioritization of the criteria along with their cause and effect distribution gave an insight into the constitution framework of localized healthcare services of Karachi, Pakistan

Due to the geological, topographic and climatic characteristics of Turkey, natural disasters are frequently experienced. 96% of Turkey is in an earthquake zone with different degrees of danger zones. This situation clearly reveals the importance of having TCIP (Turkish Natural Catastrophe Insurance Pool) earthquake insurance in Turkey. Earthquake insurance certificate is an assurance that financial losses are compensated immediately after an earthquake. In the study, 53 number of experts (DM) working in the insurance sector and experts in TCIP insurance, earthquake & buildings’ structural mechanics, who are managers, engineers, insurance experts and instructors in public and private sectors, were interviewed. Criteria and sub-criteria of the study are formed as a result of the interviews and the established criteria and related sub-criteria (21 main criteria/75 sub-criteria) are evaluated. In the study, fuzzy multi-objective mathematical model (FMOM: by using Fuzzy AHP (Analytical Hierarchy Process), Fuzzy TOPSIS and Fuzzy VIKOR methods) are used to evaluate/calculate the damages within the scope of TCIP insurance after the earthquake by insurance experts. "Post-earthquake damage assessment form" is formed by using multi-criteria decision making (MCDM) method which is Fuzzy AHP (Analytical Hierarchy Process), Fuzzy TOPSIS and Fuzzy VIKOR methods. In the study, the criteria were weighted by using Fuzzy AHP method and among the criteria, “Building’s Structural System Type” which has the highest importance weight value, therefore it was the most important criterion. The second criterion is “Status of Column Damages/Fractures”, the third criterion is “The Intensity of the Earthquake”. By using Fuzzy TOPSIS and Fuzzy VIKOR methods, 5 number of insurance experts who evaluate/make TCIP insurance are evaluated and the most suitable/experienced insurance expert is selected.

Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed.

Machine ranking plays a crucial role in manufacturing, influencing both economic efficiency and technical performance. However, this task is inherently complex because each machine must be evaluated simultaneously across multiple, often conflicting, criteria. This challenge highlights the need for Multi-Criteria Decision-Making (MCDM) methods. This study proposes a new criteria weighting approach, the SITDER method, that aims to improve the stability of machine ranking results across different MCDM techniques. SITDER integrates two methods: Skewness Impact Through Distributional Evaluation (SITDE) and Rank Order Centroid (ROC). In the first stage, SITDE is used to determine the relative importance of the criteria. In the second stage, ROC is applied to compute the final criterion weights. The effectiveness of SITDER was validated using two case studies involving the ranking of 13 handheld polishers and 12 grinding machines. In both examples, the rank correlation coefficients among the MCDM methods were consistently higher when using SITDER compared to SITDE alone. In Example 1, the average Spearman coefficient increased from 0.6282 (SITDE) to 0.739 (SITDER). In Example 2, it increased from 0.9643 to 0.9744. These results demonstrate that SITDER is a highly effective weighting method and a valuable addition to the set of available criteria weighting techniques.