The neutrosophic set model is an important tool for dealing with real scientific and engineering applications because it can handle not only incomplete information but also the inconsistent information and indeterminate information which exist commonly in real situations. In this paper, we firstly propose two practical methods to convert the interval neutrosophic sets into fuzzy sets and single valued neutrosophic sets, respectively
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a ...
Entropy measure is an important tool in measuring uncertain information and plays a vital role in so...
Information measures play an important role in the interval neutrosophic sets (INS) theory. The main...
The neutrosophic set model is an important tool for dealing with real scientific and engineering app...
The main purpose of this paper is to provide a method of multi-criteria decision making that combine...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
In this paper, two optimisation models are established to determine the criterion weights in multi-c...
Abstract-In this paper, we introduce an inclusion measure for interval neutrosophic sets, which is o...
Interval-valued neutrosophic set (INS) is a generalization of fuzzy set (FS) that is designed for so...
Information measures play an important role in the interval neutrosophic sets (INS) theory. The main...
The focus of the paper is to furnish the entropy measure for a neutrosophic set and neutrosophic sof...
The concepts of similarity measures and entropy have practical applications in computational intelli...
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a ...
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a ...
Entropy measure is an important tool in measuring uncertain information and plays a vital role in so...
Information measures play an important role in the interval neutrosophic sets (INS) theory. The main...
The neutrosophic set model is an important tool for dealing with real scientific and engineering app...
The main purpose of this paper is to provide a method of multi-criteria decision making that combine...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
The bipolar neutrosophic set is an important extension of the bipolar fuzzy set. The bipolar neutros...
In this paper, two optimisation models are established to determine the criterion weights in multi-c...
Abstract-In this paper, we introduce an inclusion measure for interval neutrosophic sets, which is o...
Interval-valued neutrosophic set (INS) is a generalization of fuzzy set (FS) that is designed for so...
Information measures play an important role in the interval neutrosophic sets (INS) theory. The main...
The focus of the paper is to furnish the entropy measure for a neutrosophic set and neutrosophic sof...
The concepts of similarity measures and entropy have practical applications in computational intelli...
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a ...
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a ...
Entropy measure is an important tool in measuring uncertain information and plays a vital role in so...
Information measures play an important role in the interval neutrosophic sets (INS) theory. The main...