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Decision making is a sub-discipline of operation research. Multi criteria decision making is one of the important method which plays a vital role in day today life. The Technique for Order Preference by Similarity Ideal Solution (TOPSIS) is one of the best approaches for such multi criteria decision making problem. So, the aim of this paper is to e...
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... the data which are collected from 30 individuals in that 15 are PG students, 10 are teaching faculties and 5 are computer lab technicians. Formation of Decision matrix of the problem of Laptop comparison is viewed in Table 2.Normalised Decision matrix is formed in Table 3followed by weighted normalized decision matrix. The distance (d i+ ) between alternative i and PIS, thedistance (d i-) between alternative i and NIS along with the closeness coeffi cient and the fi nal preference orderis given in Table 5. ...
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... Sistem Pendukung Keputusan merupakan pengambilan keputusan terbaik untuk meningkatkan kemampuan para pengambil keputusan dengan memberikan alternatif-alternatif keputusan yang lebih banyak atau lebih baik, sistem pendukung keputusan juga bagian dari sistem informasi berbasis komputer termasuk sistem berbasis pengetahuan atau manajemen pengetahuan yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan [1]- [3]. ...
Surveys are usually confused with the term observation in the everyday sense, surveys are also the main way to collect primary data if secondary data are deemed incomplete to answer a question, if the secondary data is complete enough and the hypothesis can be tested with secondary data then Direct primary data collection using the survey method is no longer necessary, a survey is looking for detailed factual information that is currently symptomatic and identifying problems or to justify conditions and ongoing activities to find out what people are doing which is the target of research in solving problems, as material for planning and making decisions in the future. SMART (Simple Multi - Attribute Rating Technique) is a multi-criteria decision-making method developed by Edward in 1977.This multi-criteria decision-making technique is based on the theory that each alternative consists of a number of criteria that have values and each criterion has a weight describes how important it is compared to other criteria. This weighting is used to assess each alternative in order to obtain the best alternative. SMART uses a linear additive model to predict the value of each alternative. SMART is a flexible decision making method.
... Multi criteria decision making(MCDM) is a well known notion that aims to choose the best solution among various alternatives in decision making. The working style of all MCDM methods is as follows: the Selection of Criteria, the Selection of Alternatives, the Selection of Aggregation Methods and ultimately the Selection of Alternatives which are based on weights or outranking [16]. Some of the MCDM methods are Analytical Hierarchy Process (AHP), Fuzzy Multi Criteria Decision Making Process, ELECTRE Method, Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), The TOPSIS Method. ...
This research attempts to seek for multi criteria decision makingthrough the PROMETHEE method. This paper aims to propose an applica-tion of multi criteria decision making in intuitionistic fuzzy sets. The maingoal of the paper; to establish a smart evaluation system in education witha multi criteria decision making approach using intuitionistic fuzzy logic andPROMETHEE method. The success ranking of schools was analyzed throughthe use of the PROMETHEE method. Besides, the most successful school wasidentified among these ranked schools. In this research, the intuitionistic fuzzyPROMETHEE method was employed during ranking of schools’ success. Themain reason for using intuitionistic fuzzy PROMETHEE is that it takes intoaccount both intuitionistic fuzzy weights and intuitionistic fuzzy preferencesat the same time. This paper applies to many fields; however, we proposed anapplication in the field of education in this study. The primary purpose of thispaper is expected to create an algorithm of intuitionistic fuzzy PROMETHEEand offer an application example that will shed light on many application ar-eas. Using multi-criteria decision-making methods together with intuitionisticfuzzy logic will help us obtain more rational and more objective results.
... Examples are provided in Table 1. [20], AHP and TOPSIS [16], TOPSIS [19,27], AHP, PROMETHEE I, PROMETHEE II [15] Mobile phone AHP-COPRAS and AHP-ARAS [14], Fuzzy TOPSIS [5,41], AHP and TOPSIS [45], Fuzzy ARAS and TOPSIS [33], TOPSIS and MOORA [26], Fuzzy AHP and PROMETHEE II [17,29], PROMETHEE [40] A review of the recent literature in the table above makes it possible to conclude that MCDM methods have been successfully applied in solving the problem of choosing various devices and products whose purchase involves multiple criteria. The approach used usually involves the comparison of several MCDM methods. ...
... Step 3. The positive (19) and negative (20) outranking flows are determined. ...
E-commerce is currently one of the most rapidly growing branches of the economy. Increasing competition in the market for this field creates the need for continuous improvement of service quality and the need to stand out from others. More and more consumers are taking advantage of the opportunity to purchase products and services over the Internet. Many products on the market and the existence of many criteria to be taken into account create difficulties in making an objective decision when choosing the most appropriate product.
Multi-criteria decision-making methods (MCDMs) are designed to help make the most appropriate decision in multi-criteria problems. Literature studies have proven that they are a widely used and suitable tool to assist choice when purchasing products and services. The possibility of their application in online sales as a consumer decision support tool seems promising both to meet customers’ growing needs and strengthen the position of online outlets in the market for these services.
This paper presents an approach involving applying four MCDM methods TOPSIS, VIKOR, PROMETHEE II and COMET, in solving the multi-criteria problem of selecting the most favourable model of headphones. The obtained results confirm the usefulness and adequacy of the selected set of methods in choosing purchased products and devices and indicate the great potential of MCDM methods in the field of online commerce and services.
... TOPSIS is one of the common methods, as: "… some other widely used methods (in addition to AHP) are the ELECTRE (ELimination Et Choix Traduisant la REalité) and TOP-SIS methods" (Triantaphyllou, 2000;Govindan & Jepsen, 2016). However, ELECTRE is a non-compensatory (outranking) method (Majumder, 2015), so TOPSIS is another alternative method for this study because all the three methods that are compared are compensatory models. In addition, ELECTRE requires an additional threshold and the ranking of the alternatives depends on the size of this threshold, for which there exists no 'correct' value (Sabaei, Erkoyuncu, & Roy, 2015). ...
This study determines the effectiveness of intuitionistic-fuzzy multi-attribute decision-making (IF-MADM) for making group decisions in practice. The effectiveness of the method is measured in terms of four dimensions: applicability, efficacy, efficiency and informativeness. To measure the efficacy, an IF-MADM model that has been recently proposed, AHP and the TOPSIS approach, which are compensatory models for group MADM, are used to model and solve the same collective decision. Using non-parametric statistical tests for data analytics, a ‘similarity confirmation method’ is proposed for a pair-wise test. This is to determine whether the score vectors are similar. Score vectors are used to determine the final ordinal ranks and whose scales differ greatly for different MADM methods. Since the latter two MADM models are both trustworthy with a known range of applications, any similarity in the results verifies the efficacy of IF-MADM. Using this process, the applicability of IF-MADM modelling is demonstrated. The efficiency and informativeness are also benchmarked and justified in terms of the model’s ability to produce a more informed decision. These results are of interest to practitioners for the selection and application of MADM models. Finally, the selection of a senior centre, which is a real group decision problem, is used to illustrate these. This extends the empirical application of IF-MADM, as relatively few studies practically compare issues for IF-MADM with those for other MADM models. The study also supports a rarely studied non-clinical healthcare decision that is relevant because there are many aging societies.
... This method is used to identify and investigate the interrelationship between criteria and mapping network relations. DEMATEL technique was generally developed to study the very complex global issues ( Habibi et al., 2014, p. 171;Asgharpur, 2013). It should be noted that the it does not provide a rating of criteria, but only shows relations between them, but: 1) Considering interactions; the advantage of this approach is that experts are able to be more fluent in expressing their opinions about the effects (direction and severity of effects) between factors. ...
Of the problems faced by investors in the capital market, especially in the stock market, is the lack of an optimal, functional and innovative model. The gap caused by this lack is felt among investors to attract investment in the stock market. With this in mind, the researchers sought to identify and present an optimal model with a new approach to attract investors to invest in the stock market in order to provide a secure, low risk and high profitable investment. Opinions of experts and investors of the stock exchange market with valid experience of at least two years were collected in 2017. After identifying and determining the effective measures on investment attractiveness, the proposed model interaction was determined by the DEMATEL method and the most effective and the most influenced criteria were determined for ease of use for users and investors. Moreover, for completing the model with a new approach, the researchers used the most prestigious techniques, i.e. Analytic Network Process technique for prioritization and ranking for criteria and sub-criteria.
... Despite of all the strengths of AHP, this method is not reliable to evaluate a large number of judgements [9]. Further research is needed to combine AHP with other DSS method, such as SAW that uses cost benefit attribute to find the weighted sum of performance ratings on each alternative on all criteria [10]. ...
This research aims to determine the development of priority of underwater tourism in Gorontalo province using the Analytical Hierarchy Process (AHP) method which is one of DSS methods applying Multi-Attribute Decision Making (MADM). This method used 5 criteria and 28 alternatives to determine the best priority of underwater tourism site development in Gorontalo province. Based on the AHP calculation it appeared that the best priority development of underwater tourism site is Pulau Cinta whose total AHP score is 0.489 or 48.9%. This DSS produced a reliable result, faster solution, time-saving, and low cost for the decision makers to obtain the best underwater tourism site to be developed.
... These factors (criteria) are touchstones for measuring the decision success. Whatever the criteria will be more comprehensive, better results will be achieved [2]. In the following section, effective factors will present. ...
Selection of a mineral processing plant location, near a mine is one of the most important parameters that directly affect the mining process. If this stage executed properly, experts can expect that efficiency will increase and on the other hand costs and destructive effects on the environment will decrease, because of such a successful decision. Factors that effect on Plant location include economical, traditional, technological, technical and etc. In this paper many efforts was done to identify the effective factors and classify them in suitable categories. Factors were identified by library studies and some current problems, caused by unsuitable location, in a number of mineral processing plants. After this stage, expert's opinions were collected by using questionnaires in pair-wise comparisons. At the end, by using AHP Method and combining 5 expert's opinions in different fields (Mining exploration, Mining excavation, Rock mechanics, Mineral processing, and Mining management), affecting factors were ranked.
... The Analytic Hierarchy Process (AHP) approach/methodology is used in this study to formulate an appropriate framework to evaluate critical success factors and develop strategies to implement quality engineering (QE) tools and techniques in Malaysia and Indonesia Automotive industries. The AHP devised by Saaty [44, 45] is a powerful technique in solving fuzzy and complex decision problems. The process can be used to make trade-off and determine priorities among factors and sub factors that are critical to making sound decisions with successful QE implementation. ...
Studies of Quality Engineering (QE) usually focused on the areas of process control tools in production and improvement tools used to improve existing production processes and its title typically covers such as Statistical Process Control (SPC), Taguchi Methods and Design of Experiment. Only a few studies that looks into a comprehensive implementation of QE Tools and Techniques especially in Malaysia and Indonesia automotive industries. This paper aims to review the QE tools and techniques practices of Malaysia and Indonesia Automotive Industries in their quality improvement efforts. This paper also highlights the importance of implementation of QE tools and techniques in company in various countries and the problems encountered when using QE tools and techniques found in the literature. The further research will identify and evaluate the critical success factors for the successful implementation of QE. The Analytic Hierarchy Process (AHP) approach is going to be employed to prioritize the critical factors for implementing QE. The AHP approach is used in this study because it can help researchers to formulate an appropriate model to evaluate critical success factors and develop strategies to implement QE tools and techniques in Malaysia and Indonesia automotive industries. Furthermore, it is believed that the developing of conceptual model will need for successful QE practices in Malaysia and Indonesia automotive industries based on empirical research.
With the development of technology, computers have become very important in both daily life and business life. Evaluation of many data together, error-free and fast calculation has been facilitated by computers. With the development of remote working and field work areas, laptop computers have become more preferred for companies. Today, there are many different brands of laptop. The presence of many criteria and alternatives makes selection difficult for decision makers. In this case, the use of multi-criteria decision making (MCDM) methods makes it easier for the decision maker to make the most beneficial choice. With MCDM methods, it is possible to select, sort and classify options with different features in the decision-making process. In this study, while making the most appropriate selection, priorities were determined with the MEREC (Method based on the Removal Effects of Criteria) method, which is one of the objective weighting methods, and the alternatives were listed with the WASPAS (Weighted Aggregated Sum Product Assessment) method. As a result of the processes, the most important criterion was the battery life, which corresponds to the K7 among the seven criteria, while the best alternative among the seven alternatives was A2.
Background: The importance and market share of e-commerce has been increasing with the COVID-19 pandemic in recent days. Employees sometimes cannot go to the workplace due to epidemics such as COVID-19 that is spreading rapidly around the world, natural disasters and accidents. Companies can continue to serve their customers with the internet infrastructure and computer technologies they will provide to their employees. Thus, e-commerce companies can provide a sustainable competitive advantage in the sector. Working with the right suppliers is one of the important decisions that will improve the service quality of the firms and affect the sustainability of the enterprise. Methods: This study aims to select the best laptop for a company in the online trade industry using Entropy-based EDAS, CODAS and TOPSIS methods. In the study, 6 alternative laptops have been evaluated according to hard disk capacity, ram, battery power, processor speed, weight, price criteria. The Entropy method has been used to identify the weights of the criteria in the study. These criteria weights have been used in EDAS, CODAS and TOPSIS methods. TOPSIS, EDAS and CODAS methods have been used to determine the best alternative. Also, the correlation between the results of the TOPSIS, EDAS and CODAS methods has been examined with the Spearman Correlation approach. Results: As a result of the Entropy method, it has been determined that the most important criterion is the hard disk capacity criterion. TOPSIS, EDAS and CODAS method results have been compared and the most suitable alternative has been selected. According to the results of the study, the best alternative has been selected as A5. Spearman Correlation analysis results show that there was a strong positive relationship between the methods used and the results obtained. Conclusions: The study differs from existing studies in the literature in that it is the first study in which laptop selection was made using TOPSIS, EDAS and CODAS methods together. The results of this study can be compared with the results of future studies that will be carried out using different MCDM methods and different data.
