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Requirements Risk Estimation Using TOPSIS Method
2020 27th Asia-Pacific Software Engineering Conference (APSEC), 2020This paper proposes a multi-criteria requirements risk estimation model, assisting software developers in assessing the potential risk of implementing requirements so that preventive actions can be taken to mitigate risk as early as possible. The proposed model employs the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to ...
Chetna Gupta, Varun Gupta 0001
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Service Selection Based on Fuzzy TOPSIS Method
2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, 2010With rapid development of service-oriented architecture and cloud computing, web services have been widely adopted for developing various kinds of applications. A set of non-functional requirements such as QoS has become important criteria for service selection.
Chi-Chun Lo +3 more
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An application of fuzzy Topsis method for supplier selection
International Conference on Fuzzy Systems, 2010Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy ...
Mehmet Sevkli +3 more
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Direct Interval Extension of TOPSIS Method
2012The technique for order preference by similarity to ideal solution (TOPSIS) currently is one of most popular methods for Multiple criteria decision making (MCDM).This technique was primary developed for dealing with only real-valued data. In some cases, determining precisely the exact values of local criteria is difficult and as a result their values ...
Pavel V. Sevastjanov, Anna Tikhonenko
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A Study of Different Distance Metrics in the TOPSIS Method
2021To improve the decision-making process, more and more systems are being developed based on a group of multi-criteria decision analysis (MCDA) methods. Each method is based on different approaches leading to a final result. It is possible to modify the default performance of these methods, but in this case, it is worth checking whether it affects the ...
Bartlomiej Kizielewicz +2 more
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International journal of research in engineering and science, 2013
The paper demonstrates the application of TOPSIS method using two selected examples. In the first example, it is shown that the best TOPSIS solution is neither closest to the positive ideal solution nor the farthest from the negative ideal solution. In many works on TOPSIS method stands as follows: "The basic principle is that the chosen alternative ...
Novoselac, Vedran, Pavić, Zlatko
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The paper demonstrates the application of TOPSIS method using two selected examples. In the first example, it is shown that the best TOPSIS solution is neither closest to the positive ideal solution nor the farthest from the negative ideal solution. In many works on TOPSIS method stands as follows: "The basic principle is that the chosen alternative ...
Novoselac, Vedran, Pavić, Zlatko
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A TOPSIS method to evaluate the technologies
International Journal of Quality & Reliability Management, 2013Purpose – This paper aims to evaluate nine types of electrical energy generation options with regard to seven criteria. The analytic hierarchy process (AHP) was used to perform the evaluation. The TOPSIS method was used to evaluate the best generation technology.
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Ranking vague sets using TOPSIS method
Journal of Intelligent & Fuzzy Systems, 2013Vague sets (VS) are one of the most useful and effective tools for modeling problems in uncertain environment. So many problems in the real world such as project selection, supplier selection, location allocation problems etc, have uncertain nature which can be provided to formulate vagueness of real environment.
Amir Yousefli, A. Deheshvar, T. Komijani
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The conversion of cost and benefit criteria in the TOPSIS method
International Journal of Applied Decision Sciences, 2012Multiple attribute decision making (MADM) models involve both cost and benefit criteria. However, it is convenient to unify criteria type; this means to convert the cost criteria into benefit criteria or vice versa. There are several procedures for criteria type conversion.
Milan Houska +2 more
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Campus security evaluation based on TOPSIS method
2012 International Conference on Machine Learning and Cybernetics, 2012This paper aims to develop a framework that evaluates the campus security, and reveals its strengths and weaknesses. It has divided the whole framework into three stages. The first stage is to construct index system to the campus security. The second stage is Analytic Hierarchy Process (AHP) based campus security evaluation.
Weige Ji, Yanan Wang 0001, Shuwen Du
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