Interval-valued Fuzzy TOPSIS Research Articles

Cloud Provider Selection Based on Accountability and Security Using Interval-Valued Fuzzy TOPSIS

Cloud computing enables on-demand access to a public resource pool. Many businesses are migrating to the cloud due to its popularity and financial benefits. As a result, finding a suitable and best Cloud Service Provider is a difficult task for all cloud users. Many ranking systems, such as ANP, AHP and TOPSIS, have been proposed in the literature .However, many of the studies concentrated on quantitative data. But qualitative attributes are equally significant in many applications where the user is more concerned with the qualitative features.The implementation of MCDM approach for the ranking and the selection of the best player in the market as per the qualitative need of the cloud users like business organization or cloud brokers is the aim of this article. An ISO approved standard SMI framework is available for the evaluation of the CSPs.The authors have considered SMI attributes like accountability and security as the criteria for evaluation of the CSPs. The MCDM approach called IVF-TOPSIS that can handle the inherent vagueness in the cloud dataset is implemented in this work

Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS

Performance measurement is known to be the best way of investigating the supply chains' success. In this regard, managers can identify the root causes of weakness points and improve supply chain's performance through analysing and solving these problems. Concerning this problem, various supply chain performance evaluation models have been presented in literature. Through all of the models, this paper used supply chain operations reference (SCOR) model for performance measurement of three Iranian automotive supply chains. First SCOR model is employed to define the performance criteria. Afterwards, technique for order of preference by similarity to ideal solution (TOPSIS) is used to determine the supply chain that performs best. In this paper, expert's judgment is used to determine the criteria's value and weight but uncertainties in expert's judgment was unavoidable, also experts cannot reach an agreement on the method of defining linguistic variables based on fuzzy sets. So, paper used interval-valued fuzzy set to solve these problems. To the best of authors' knowledge, this is the first study that have applied interval-valued fuzzy TOPSIS in group decision-making in order to evaluate and improve the performance of supply chains on the basis of SCOR model.

Performance evaluation of irrigation network using fuzzy multicriterion group decision making technique

Present paper discusses applicability of fuzzy multicriterion decision making (MCDM) technique, namely, interval valued fuzzy TOPSIS (IVFT) for selection of suitable irrigation subsystems among 30 such subsystems of Khadakwasla Irrigation Project, India. Five performance evaluations related criterion, namely, participation and cooperation, effective water availability, conjunctive use, economic status and agricultural education are assessed subjectively using linguistic ratings. Extensive stakeholder’s response survey is conducted in each subsystem, to obtain their opinion on various aspects of the project. Five perspective scenarios are developed, namely, water resources engineering, socioeconomic, administrative, academic and analytic. Relevant weighted payoff matrices so formed are used to rank the existing subsystems. It is found that proposed methodology can be used as a guiding mechanism for improving the existing subsystems.