organizations need to evaluate project proposals and select the ones that are the most effective in reaching the strategic goals by considering sustainability issue. in order to enhance the effectiveness and the efficiency of project oriented organizations, in this paper a new multi-objective decision making (modm) approach of sustainable project portfolio selection is proposed which applies in...

We review interval-valued fuzzy sets (IVFS) and develop their application for several areas. show how to aggregate IVFSs provide information measures guide the aggregation. An example of use IVFS represent uncertainties in Covid-19 contact tracing is illustrated. Then we consider spatial data. By determining distance area data can aggregation apply this minimum bounding rectangles GIS. Finally,...

Received: October 28, 2017 Revised: December 28, 2017 Accepted: January 30, 2018 Abstract: Background: When patient(s) approach to a medical expert to explain their problems, they often explain their conditions through vague linguistic expression [1]. Medical expert needs to prepare a list of potential symptoms for the particular diseases of the patients based on their vague linguistic statemen...

Abstract: Interval-valued fuzzy set (IVFS) is an extension of fuzzy set in which it presents a fuzzy set with an interval-valued membership. A similarity measure is a useful tool for determining the similarity degree between two objects. It is also an important measure for fuzzy concepts. In this paper, we propose a new similarity measure between IVFSs. Some properties of this similarity measur...

Cargo terminals are the gateways for entrance of commodities into the transportation network. Therefore, locating them in optimal location could have a major impact on the cost effectiveness and efficiency of transport, traffic safety and reduction in environmental pollutions. Due to the presence of a large number of parameters involved and the existing uncertainties, decision making in this fi...

Among the computational intelligence techniques employed to solve classification problems, Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their interpretable models based on linguistic variables, which are easier to understand for the experts or end-users. The aim of this paper is to enhance the performance of FRBCSs by extending the Knowledge Base with the appli...

Interval-valued intuitionistic fuzzy sets (IVIFSs), a generalization of fuzzy sets, is characterized by an interval-valued membership function, an interval-valued non-membership function.The objective of this paper is to deal with criteria aggregation problems using IVIFSs where there exists a prioritization relationship over the criteria.Based on the ${L}$ukasiewicz triangular norm, we first p...