Extensions to Linguistic Summaries Indicators based on Neutrosophic Theory

The quick development of the markets and companies, especially those that apply information technology, has made it easy to store a large volume of digital information. Nevertheless, the extraction of potentially useful knowledge is difficult; also could not be easily understandable by humans. One of the techniques applied to the solution to this problem is the linguistic data summarizations, whose objective is to discover knowledge to extract patterns from databases, from which are generated explicit and concise summaries. Another important element of the linguistic summaries is the indicators (T) for their evaluation proposed by Zadeh when including linguistic terms evaluation in fuzzy sets. However, these indicators not include the analysis in indeterminate sets. In this paper, it is discussed the use of linguistic data summarization in project management environments and new T indicators are proposed including neutrosophic sets with single value neutrosophic numbers. Authors evaluate T-values proposed by Zadeh and T-values based on neutrosophic theory in the evaluation of linguistic summaries recovered

A New Neutrosophic Cognitive Map with Neutrosophic Sets on Connections

Neutrosophic sets and their application to decision support have become a very important topic. In real situations, there are different sources of indeterminacy. This paper suggests a new decision-making model based on Neutrosophic Cognitive Maps (NCMs) for making comprehensive decisions from a multi-objective approach (diagnosis, decisions, and prediction) during the execution of many projects simultaneously. A Soft Computing technique like Fuzzy Cognitive Maps (FCMs) has been widely used for decision-making process in project management, but this technique has the limitation of not considering the indeterminacy between concepts. This limitation is overcome by the proposed model since NCMs can represent the indeterminacy or neutrality. The new model includes neutrosophic sets in the map’s connections. Finally, the suggested model has been compared with traditional FCM-based model considering efficiency and efficacy