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The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ewa Roszkowska, Dariusz Kacprzak
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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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A fuzzy TOPSIS based approach for e-sourcing
Engineering Applications of Artificial Intelligence, 2011This study presents a methodology for solving the sealed bid, multi-attribute reverse auction problem of e-sourcing in which the sales item is defined by several attributes, the buyer is auctioneer, and the suppliers are the bidders. There is only one buyer and a number of suppliers.
Singh, Ritesh Kumar, Benyoucef, Lyes
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Cloud Service Selection Using TOPSIS and Fuzzy TOPSIS with AHP and ANP
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017The growing demand and availability of cloud services have triggered the need for comparison of their features available to customers at different prices and performance. It is necessary to be said that relevant and fair comparison is still challenging due to diverse deployment options and unique features of different services. The aim of this paper is
Akshay Jaiswal, R. B. Mishra
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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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Evaluation of an Apartment Selection Model by Integrating Fuzzy AHP and Fuzzy TOPSIS
International Journal of Fuzzy System Applications, 2022The objective of this study is to evaluate the dimensions in an apartment selection model by integrating fuzzy AHP and fuzzy TOPSIS methods. From the steps of fuzzy AHP and fuzzy TOPSIS, the study explores that the most important dimensions in the apartment selection model are the design and quality of the apartment. Moreover, the landscape environment,
Manh Hien Luc +3 more
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A generalised fuzzy TOPSIS with improved closeness coefficient
Expert Systems with Applications, 2018Abstract In this paper, we propose a Generalised-Fuzzy-TOPSIS method as a versatile evaluation model. The model is suitable for different types of fuzzy or interval-valued numbers, with or without subjective weights of criteria being defined by evaluators.
Gourav Dwivedi +2 more
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Enhancing Fuzzy Topsis for web service selection
International Journal of Computer Applications in Technology, 2015With proliferation of web services, quality-of-service QoS capability is becoming a significant factor for distinguishing services. QoS includes various non-functional issues such as performance, reliability and availability, etc. The functional requirements are assured through Semantic Matchmaking algorithm whereas the non functional requirements are ...
S. Maheswari, G. R. Karpagam
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Corporate sustainability assessment through fuzzy TOPSIS
Proceedings of the 6th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2018), 2018"The aim of this paper is to propose a decisionmaking methodology that enables the analysis and evaluation of sustainability at the corporate level. The proposed methodology grounds on two tools, namely the technique for order preference by similarity to ideal solution (TOPSIS) approach and fuzzy logic.
Bottani E., Rinaldi M., Solari F.
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Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing, 2009Decision making is one of the most complex administrative processes in management. In circumstances where the members of the decision making team are uncertain in determining and defining the decision making criteria, fuzzy theory provides a proper tool to encounter with such uncertainties.
Behzad Ashtiani +3 more
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