Aggregated Sum Product Assessment Method Research Articles

Combining the Fuzzy Analytic Hierarchy Process Method with the Weighted Aggregated Sum Product Assessment Method to Address Internet Platform Selection Problems in an Environment with Incomplete Information

Combining the Fuzzy Analytic Hierarchy Process Method with the Weighted Aggregated Sum Product Assessment Method to Address Internet Platform Selection Problems in an Environment with Incomplete Information

Spherical Fuzzy Multicriteria Decision Making for Evaluating Healthcare Service Quality of Hospitals During the Global Pandemic

AbstractThis study identifies hospitals in Iran that have demonstrated exceptional performance in service quality during the COVID-19 pandemic based on the proposed integrated multicriteria decision-making (MCDM) process. Although the coronavirus has been eradicated in most countries, occasional outbreaks of COVID-19 variants have occurred, affecting many individuals, particularly in Iran. The pandemic caused an influx of hospital visits, with people seeking treatment for various illnesses. However, the abrupt onset of the pandemic and its global impact challenged hospitals’ ability to provide timely care, leading to a noticeable decline in service quality. Identifying the top-performing hospitals is crucial for benchmarking and enhancing healthcare quality. To assess hospital service quality, the study employed a customized SERVQUAL model, which helped identify key factors that served as criteria and subcriteria for the evaluation process. The priority weights of these factors were then obtained using the spherical fuzzy analytic hierarchy process. For each SERVQUAL criterion, the hospitals were evaluated using the spherical fuzzy weighted aggregated sum product assessment method, resulting in respective rankings of the hospitals. Finally, an integrated Borda−Copeland method was utilized to generate the aggregate evaluation ranking, a feature that serves as an important departure from the literature. The contribution of this work lies in developing an integrated approach that intends to serve as a benchmark not only for hospitals in different countries but also for those confronting similar challenges and offers guidance for seeking insights from top-performing hospitals in comparable situations.

Enhancing efficiency in photo chemical machining: a multivariate decision-making approach

Non-Traditional Machining (NTM) outperforms traditional processes by offering superior geometric and dimensional accuracy, along with a better surface finish. Photo Chemical Machining (PCM) represents one such NTM process, using chemical etching for material removal. PCM finds substantial application in the creation of microchannels in pharmaceutical, chemical and energy industries. Several input parameters—such as etchant concentration, etching time and etchant temperature—profoundly influence the machining’s quality and efficiency. Therefore, the optimization of these parameters is crucial. This study presents a comparative analysis of five Multiple Criteria Decision Making (MCDM) techniques—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Multi-Objective Optimization on the basis of Ratio Analysis (MOORA), Additive Ratio Assessment (ARAS), Weighted aggregated sum product assessment method (WASPAS) and Multi-Attributive Border Approximation Area Comparison Method (MABAC)—for the optimization of the PCM process. Key performance metrics considered are Material Removal Rate (MRR), Surface Roughness (SR), Undercut (Uc) and etch factor (EF). The weights of these criteria were calculated using the Criterion-Induced Aggregation Technique (CRITIC) and was compared with other popular methods like MEREC, Entropy and equal weights. MRR and EF are seen as beneficial criteria, while SR and Uc are perceived as cost criteria. Optimum process parameters were identified as 850 g/L etchant concentration, 40 min etching time and 70°C etchant temperature. Two of the three employed MCDM techniques agreed on these optimal parameters, reinforcing the findings. Furthermore, a strong correlation was observed amongst the employed MCDM techniques, further validating the results.

Agricultural Water Productivity Using Weighted Aggregated Sum Product Assessment Method

Water productivity is a unit of agricultural production for water decrease in the size, of crops, and trees, for livestock and fish can be evaluated. Agriculture water productivity per hectare tons of water or kg consumed kg of water the yield is consumed following) yields on the unit size of the water physical productivity disclosure of crop yields total or net present the yield period will change by value water losses or economic productivity incomplete or excluded water consumption with reference volume ( a bank water ) per unit block. Water productivity ‘ per unit crop production ’ will be used and defined as a water's number. Agricultural production systems with water the idea that productivity is ‘ the same more food with water bodies focusing on manufacturing ’ or with ‘ low water bodies production of the same amount of food does. Initially, irrigation performance of methods irrigation ability to describe or water use capacity was used. In terms of agriculture, ‘ water use capacity ’ will produce a plant as the quantity of organic matter is defined. This is, however, the terms used ‘ water use capacity ’ and ‘ performance ’ will not follow the classical concept of it, this is for input and output uses the same units. Therefore, the international water management company ( iwmi ) ‘ water use capacity ’ to ‘ water productivity ’ until the change of nomenclature is proposed. Analysis purpose, size, and domain step water productivity are many you can define more ways. one unit of water revenue equals one unit of water productivity (wp). More food, more money, a better standard of living, and improved ecosystem services result from increased water productivity. One unit of water revenue equals one unit of water productivity (wp). More food, more money, a better standard of living, and improved ecosystem services result from increased water productivity. It aims to produce contains. Crop, livestock, and water of fisheries in the domains of productivity to improve the size of the basin there is considerable opportunity. This will be used to achieve water harvesting in procedures, sub-watering, lack irrigation, precision techniques for irrigation, and practices for protecting soil and water are included. Soil fertility, pest, and disease management, and improved crop selection getting into markets from improvements like such by the interactive effects obtained water management impacts water directly with productivity related procedures. Benefits of using the Waspas technique weighted sum model (WSM) and weighted product model (WPM). Accuracy of ranking waspas alternatives is increased by integrating wsm and wpm. Wasps are an optimal at this point in the calculation of the additive parameter, which will be discussed in more depth later. The finest solution is the waspas method of analysis, which is outstanding. The long-range solution identifies a better answer than the short distance and negative-best, but a comparison of these distances is not thought to be important. Alternative is Kilograms per cubic meter, Dollars per cubic meter, Protein grams per cubic meter, Calories per cubic meter. Evaluation preference is Cereal Wheat ($0.2 per kilogram), Rice ($0.31 per kilogram), Maize ($0.11 per kilogram), Legumes Lentils ($0.3 per kilogram), Fava beans ($0.3 per kilogram). From the result it is seen that Rice ($0.31 per kilogram) is got the first rank where as is the Fava beans ($0.3 per kilogram) is having the lowest rank. .Rice ($0.31 per kilogram) is ranked first and Fava beans ($0.3 per kilogram) are ranked lowest.

A NOVEL MODEL PROPOSAL FOR GREEN SUPPLIER SELECTION: AN APPLICATION IN THE RETAIL INDUSTRY

Today, good relations between companies and suppliers provide companies with a competitive advantage. Determining the supplier selection criteria and rewarding the suppliers by evaluating them at certain times is of great importance in establishing successful relations with the suppliers. For these reasons, in this study, it is aimed to determine and weight the criteria to be considered in the supply of products and fabrics in companies operating in the textile sector and to present the best results to green suppliers. In line with the determined purpose, studies were carried out in a retail company located in Istanbul from the textile sector. Supplier evaluation criteria were collected from the company and other studies in the literature and analyzed in two areas as main and sub-criteria. The evaluation of 34 different sub-criteria under the main criteria of cost, quality, delivery, flexibility, environmental management, technology and social was made by 3 experts. In the solutions of the evaluations, the best-worst method was preferred. The criteria weights determined according to the Best-Worst method were evaluated with the Weighted Aggregated Sum Product Assessment method and the ranking of 9 suppliers was revealed. Excel program was used during the analysis of the data.

Penerapan Metode WASPAS Untuk Penentuan Penerima Beasiswa

The need for funds or costs in education is important, one of those needs is scholarships, scholarships themselves are obtained based on several needs, one of which is that people can receive it if they are poor and there are difficulties in financing education. In that case, a system is needed that can help receiving scholarships. In that case, a decision support system for determining scholarship recipients was created using the Weighted Aggregated Sum Product Assessment method. The system used in this method is to provide several benchmarks as absolute values, after receiving a fixed value, the final result will be made in the form of a ranking arrangement of the data that has been made. The results of this study can assist in determining acceptance of the scholarship

An innovative probabilistic hesitant fuzzy set MCDM perspective for selecting flexible packaging bags after the prohibition on single-use plastics

The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the hesitant fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing their biases while using hesitant fuzzy information. To extrapolate a more accurate interpretation of the decision documentation, it is sufficient to standardize the organization of the elements in PHFEs without introducing fictional elements. Several processes for unifying and arranging components in PHFEs have been proposed so far, but most of them result in various disadvantages that are critically explored in this paper. The primary objective of this research is to recommend a PHFE unification procedure that avoids the deficiencies of operational practices while maintaining the inherent properties of PHFE probabilities. The prevailing study advances the hypothesis of permutation on PHFEs by suggesting a new sort of PHFS division and subtraction compared with the existing unification procedure. Eventually, the proposed PHFE-unification process will be used in this study, an innovative PHFEs based on the Weighted Aggregated Sum Product Assessment Method–Analytic Hierarchy Process (WASPAS–AHP) perspective for selecting flexible packaging bags after the prohibition on single-use plastics. As a result, we have included the PHFEs-WASPAS in our selection of the most effective fuzzy environment for bio-plastic bags. The ranking results for the suggested PHFEs-MCDM techniques surpassed the existing AHP methods in the research study by providing the best solution. Our solutions offer the best bio-plastic bag alternative strategy for mitigating environmental impacts.

Analysis of the performance of assessment scales with multi-criteria decision-making techniques

The correct transmission of the information flow between the patient and the doctor by the assessment scales plays an important role in the correct determination of the treatment approach to be applied. In this study, depression assessment scales were evaluated using a hybrid Multi-Criteria Decision-Making (MCDM) model. In the first part of the study, the criteria that should be in the assessment scale were determined by a questionnaire study applied to doctors. In the second part, criteria weights were calculated with the Analytical Hierarchy Process (AHP), and the assessment scales were evaluated from various aspects with the Weighted Aggregated Sum Product Assessment method (WASPAS). The results show that the most important criteria in a scale are the ability to predict the diagnosis, the follow-up of the recovery process, the understanding of the questions, the ease of evaluation, and the ease of individual use. In addition, it has been observed that psychiatrists attach more importance to the follow-up of the recovery process and the ease of evaluation on a scale. When the findings are examined with sensitivity analysis, it shows that the Beck depression scale is the most appropriate scale in terms of the determined criteria.

Decision support system to determine the best customer using weighted aggregated sum product assessment method

A business engaged in the sale of building materials and building tools. Customers are important assets that must be maintained properly, because each customer will bring profits that can keep the business running. To maintain customer loyalty, business owners provide an appreciation and appreciation for the best customers. However, determining the best customer is still difficult because the process of determining the best customer is still done manually and randomly. The number of customers is also an obstacle to the process of determining the best customer. The method used is weighted aggregated sum product assessment (WASPAS) to determine the best customer by looking at 5 criteria including: Total Spend, Visit Loyalty, Quantity of Shopping, Distance, Frequency of Complaints. This method was chosen because it can reduce errors - errors or optimize in estimation for the selection of the highest and lowest values. The best customers will be rewarded and appreciated by business owners. The result of this study is a Decision Support System to Determine the Best Customer Using the WASPAS Method. Questionnaire testing obtained user satisfaction results as much as 65% strongly agree, 25% agree, 10% sufficient and 0% disagree which shows that the system is in accordance with the needs and can be used.

An integrated multi-criteria decision-making framework for the selection of sustainable biodegradable polymer for food packaging applications.

Manifold aspects, such as the booming market for superior quality food items with increased shelf life and the escalating concern to mitigate plastic trash due to plastic packaging have motivated researchers and food industrialists to explore sustainable eco-friendly packaging solutions extensively. Biodegradable polymers are being rigorously investigated to replace conventional plastics that are toxic, non-biodegradable, and detrimental to the marine ecosystem. The scientific methodology for the prudent selection of biodegradable polymer among the frequently used biopolymers for food packaging is being reported here. The data were extracted from the available literature. A hybrid multi-criteria decision-making framework has been developed to address the problem of material selection owing to the multiple conflicting criteria involved. Assignment of equal weights to primary criteria was selected to establish the criteria weights. Different decision-making techniques (weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment method (WASPAS), and technique for order of preference by similarity to ideal solution (TOPSIS)) were used for the comparative analysis. Thereon, the different ranks obtained for each alternative were aggregated using the degree of membership technique. The robustness of the solution was checked using sensitivity analysis which was conducted by varying weights of importance using the entropy method, the CRITIC method, and the equal weights to secondary criteria. The analysis reported polylactic acid (PLA) as the most reliable polymer for food packaging applications. The sensitivity analysis concluded that the solution was without prejudice, and water vapor permeation rating was the most critical decision criterion in deciding the optimal polymer.

Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method

With the high impetus in global digitization, online shopping (OS) is anticipated to increase further in the near future. Contrary to this anticipation, however, recent studies have emphasized a certain amount of drop in a considerable number of online purchasing transactions in 2022. One of the reasons might be customer dissatisfaction. To analyze online customer reviews, manual sentiment analysis was conducted to detect which quality criteria cause the dissatisfaction of online shoppers. The quality parameters are categorized into product, delivery service, and aftersales service quality (SQ). These main quality criteria are then divided into sub-factors. Eight health category products, including personal care products, wellness products, and household cleaners, were ranked to the importance of the sub-quality parameters using the multi-criteria decision-making (MCDM) method. In this study, a new hybrid MCDM method was also proposed, which combines the triangular fuzzy logarithm methodology of additive weights (F-LMAW) and the Fermatean fuzzy weighted aggregated sum product assessment method (FF-WASPAS). The study reveals that the most important criteria were products’ performance, as well as their side effects, pay-back, and change possibility, while the products’ reasonable price was the least important criterion. Aftersales service was more significant than delivery service. Furthermore, moisturizing creams and medical pillows were the most popular products bought in OS compared with hair conditioners and washing liquids. The study’s multifold contributions and managerial implications were elaborately discussed.

Evaluating preparedness in using blockchains for electronic health record systems

PurposeAn emerging technology in the primary stages of its life cycle is the blockchain. This research paper aims to evaluate the preparedness of hospitals in using blockchain technology in their electronic health record (EHR) systems.Design/methodology/approachIn the initial stage, 15 criteria relating to preparedness in using blockchain in EHR systems were identified from the literature and divided into five criteria, namely, technological, legal, financial, environmental and organizational. Then, 17 experts from various specialized fields were invited to form expert panels. After validating the criteria identified by the expert panels, the weights of the criteria were determined through the fuzzy best-worst multicriteria decision-making method. Following that, the preparedness of ten selected hospitals in Tehran to use blockchain in their EHR systems was assessed via the weighted aggregated sum product assessment method. Finally, using sensitivity analysis and examining different scenarios, the robustness of the results of the proposed approach was validated.FindingsAccording to expert judgments, the legal criterion (32%) was deemed the most important factor in the preparedness to use blockchain in EHR systems followed by technological (28%), financial (17%), organizational (13%) and environmental (9%) criteria. A sensitivity analysis showed that the proposed approach offers good strength and robustness in evaluating the selected hospitals.Originality/valueThis study can be useful in developing knowledge in the field of technology management for evaluating blockchain implementation in the health-care industry using a novel, coherent and robust approach. In addition, the proposed approach provides comprehensive insight for decision-makers on assessing preparedness in deploying blockchain technology in EHR systems.

Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles.

This paper deals with the selection of the optimal material for railway wagons, from among three different steel and three aluminium based materials, by using four different Multicriteria Decision Making Methods (MCDM) and comparing their ranking of the materials. We analysed: Dual-Phase 600 steel, Transformation-Induced Plasticity (TRIP) 700 steel, Twinning-Induced Plasticity (TWIP) steel, Aluminium (Al) alloys, Al 6005-T6, and Al 6082-T6, and porous Al structure with closed cells. Four different MCDM methods were used: VIKOR, TOPSIS, PROMETTHEE and the Weighted aggregated sum product assessment method (WASPAS). Key material properties that were used in the MCDM analysis were: density, yield strength (Y.S.), tensile strength (T.S.), Y.S./T.S. ratio, Youngs modulus (Y.M.), cost and corrosion resistance (C.R.). Research results indicate that aluminium and its alloys prove to be the most suitable material, based on setup criteria. Advanced steels also achieved good ranking, making them a valid option, immediately behind lightweight aluminium alloys. Porous aluminium did not perform well, according to the used MDCM methods, mainly due to the significantly lower strength exhibited by the porous structures in general.

A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran

Social vulnerability and society's resilience are two concepts frequently used to examine the capacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gained renewed attention. Assessing social vulnerability can help managers and planners prioritize budgets, develop prevention programs, and enhance risk preparedness. This study aimed to determine the association between social vulnerability and COVID-19 in the neighborhoods of Ahvaz, Iran. To assess the social vulnerability of Ahvaz neighborhoods, decision-making techniques (best-worst method and weighted aggregated sum product assessment method) and geographic information systems were applied. Moreover, to investigate the relationship between social vulnerability and COVID-19 cases, the Pearson correlation test was used. The results showed that the ‘20-meteri shahrdari’ neighborhood has the highest level of social vulnerability, and the lowest level of social vulnerability among the neighborhoods of Ahvaz belongs to the neighborhood of ‘Shahrak Naft’. There is a low inverse association between the integrated index of social vulnerability and the incidence of COVID-19 per 1000 people in Ahvaz. By revealing the most important details at the neighborhood level and levels of vulnerability, the results can inform effective planning actions at the neighborhood level.

Determining the Eligibility of Livestock Assistance using the Weighted Aggregated Sum Product Assessment Method

Livestock is a part of the agricultural sector in Indonesia's national development which aims to increase the income and welfare of farmers and ranchers. This is evidenced by the growth rate which is always positive and the contribution which tends to increase, one of which is the Agam Regency Animal Husbandry Service. In providing assistance, the Livestock Service Office of Agam Regency, in providing assistance, livestock assistance is often not on target and the livestock assistance that is given is not properly managed because often groups of farmers or livestock after receiving assistance after being checked again, the livestock that are given are not well cared for. In providing livestock assistance, it is still being carried out by using a manual process, namely the Agam Regency Animal Husbandry Service in providing assistance does not use a special calculation method such as using the scientific method. The implementation of the Decision Support System in this study uses the Weighted Aggregated Sum Product Assessment (WASPAS) method, which is a combination method of the WP method and the SAW method. The WASPAS method is expected to provide better results in assisting the determination of decision support systems. Then the best solution will be made to help make a decision to determine the feasibility of livestock assistance using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The results of this study that get the highest ranking is Breeder 4 with a preference value of 0.84. This research also produces a decision support system that can analyze the right assistance to be given to farmers so that farmers can receive assistance according to the problems they face.

Sistem Pendukung Keputusan Pemilihan Kerjasama Wedding Organizer Dengan Menerapkan Metode ROC Dan WASPAS

The selection of wedding organizer cooperation is one way to support choosing the right kersama for the development of a company. The election will have a big impact on the company. So in this research aims to provide the best alternative in the selection of kerjsama wedding organizers by using a decision support system. Decision support system is a form of Computer Base Information System (CBIS) that is interactive, flexible, and specifically developed to support problem solving from unstructured management to improve decision making, decision support systems are usually built to support solutions to a problem or to evaluate an opportunity. In this research, the author will use Rank Order Centroid method in weighting and use Weighted Aggregated Sum Product Assessment method for settlement. The benefit that the authors want to achieve in this study is to be able to provide convenience for the company to choose the best choice that will be invited to cooperate. so as to reduce the risk of loss or even increase the profit and trust of consumers or booker wedding organizers

Multi-criteria decision-making methods for the evaluating of a real green supply chain in companies with fast-moving consumer goods

ABSTRACT This research aims at determining the main criteria of the green supply chain management (GSCM) and providing a framework to assess and compare the greenness of dairy industries. There has been a research gap in evaluating the greenness of this industry in Iran to be bridged. In the first phase, through studying literature and acquiring academics and experts’ opinions, the framework is classified into 8 criteria and 32 sub-criteria as enablers and relevant to the GSCM, considered as base subjects in preparing questionnaires. The second phase uses experts' opinions and through the Fuzzy Delphi method, 26 sub-criteria are screened, confirmed, and employed. Also, the cause-and-effect criteria and sub-criteria (C&SC) are identified by the Fuzzy DEMATEL method. In this context, the fuzzy best-worst multi-criteria decision-making method (FBWM) indicates the most and least important C&SC. Then, by using a Weighted Aggregated Sum Product Assessment Method (WASPAS), the considered companies are evaluated and ranked in terms of greenness, followed by some analyses over the results of real case studies. Ultimately, some managerial insights are extracted, which are fundamental for being regarded green and play the central role in making the companies much more functional with lots of amazing and needful results for them..

Business Digital Maturity in Europe and Its Implication for Open Innovation

This paper presents the results of a study aimed at assessing the level of business digital maturity in Europe and at analyzing similarities between companies in terms of implemented Industry 4.0 technologies. The digital transformation of production and service enterprises has become a common direction of development for all economic sectors. The very idea of Industry 4.0 has become synonymous with innovation and is the basis for business development. The role and importance of these transformations are also recognized by the EU which has been promoting and supporting the development of an innovative digital economy for many years. However, individual EU countries differ in terms of digital business maturity due to the implementation of Industry 4.0 technology. The article addresses this problem by presenting the results of a comprehensive study of the implementation of Industry 4.0 digital technologies in enterprises in the EU-27 countries and by assessing similarities between these countries in terms of these technologies. The similarity analysis was carried out using the k-means method. The Gini coefficient and Lorenz curves were utilized to determine the unevenness of the implementation of these technologies in individual countries, and the Weighted Aggregated Sum Product Assessment method was used to assess the level of digital maturity. The research was based on eight selected determinants (indicators) that characterize the most important technologies related to Industry 4.0. The results showed high diversity among EU countries in terms of digital maturity. Scandinavian countries (Finland and Denmark) and Malta were found to be leaders in this area, while the weakest results were reported for Greece, Romania, Bulgaria, Hungary, and Latvia. The findings provide a lot of new information about the current state of development of the digital economy in EU countries, which should be used in both the development and implementation of new solutions related to economic digitalization policy in this region.

Interval-valued fermatean fuzzy sets with multi-criteria weighted aggregated sum product assessment-based decision analysis framework.

Fermatean fuzzy set, a generalization of the fuzzy set, is a significant way to tackle the complex uncertain information that arises in decision-analysis procedure and thus can be employed on a wider range of applications. Due to the inadequacy in accessible data, it is hard for decision experts to exactly define the belongingness grade (BG) and non-belongingness grade (NG) by crisp values. In such a situation, interval BG and interval NG are good selections. Thus, the aim of the study is to develop the doctrine of interval-valued Fermatean fuzzy sets (IVFFSs) and their fundamental operations. Next, the score and accuracy functions are proposed for interval-valued Fermatean fuzzy numbers (IVFFNs). Two aggregation operators (AOs) are developed for aggregating the IVFFSs information and discussed some axioms. Further, a weighted aggregated sum product assessment method for IVFFSs using developed AOs is introduced to handle the uncertain multi-criteria decision analysis problems. A case study of e-waste recycling partner selection is also considered to elucidate the feasibility and efficacy of the introduced framework. Finally, sensitivity and comparative analyses are given to elucidate the reliability and robustness of the obtained results.

Regulation Relatedness Map Creation Method with Latent Semantic Analysis

Regulatory authorities create a lot of legislation that must be followed. These create complex compliance requirements and time-consuming processes to find regulatory non-compliance. While the regulations establish rules in the relevant areas, recommendations and best practices for compliance are not generally mentioned. Best practices are often used to find a solution to this problem. There are numerous governance, management, and security frameworks in Information Technology (IT) area to guide businesses to run their processes at a much more mature level. Best practice maps can used to map another best practice, and users can adapt themselves by the help of this relation maps. These maps are created generally by an expert judgment or top-down relationship analysis. These methods are subjective and easily creates inconsistencies. In order to have an objective and statistical relationships map, we propose a Latent Semantic Analysis (LSA) based modal to generate a specific relatedness correlation map. We created a relatedness map of a banking regulation to a best practice. We analyzed 224 statements of this regulation in relation to Control Objectives for Information Technologies (Cobit) 2019's 1202 activities. Furthermore, we support our LSA results with MCDM analysis methods; Fuzzy Analytics Hierarchy Process (FAHP) to prioritize our criteria and, WASPAS (Weighted Aggregated Sum Product Assessment Method) to compare similarity results of regulation and Cobit activity pairs. Instead of the subjective methods for mapping best practices and regulations, this study suggests creating relatedness maps supported by the objectivity of LSA.