To help decision-makers better understand the decision procedure and result is a major objective of decision analysis. In linguistic decision, symbolic scheme thereby is more attractive than set-based scheme. The counted (expanded) linguistic variable (CLV/CELV) model is proposed for representing and aggregating linguistic decision information. The model is developed from the ordinary linguisti...

The intuitionistic linguistic set (ILS) is an extension of linguisitc variable. To overcome the drawback of using single real number to represent membership degree and non-membership degree for ILS, the concept of interval-valued intuitionistic linguistic set (IVILS) is introduced through representing the membership degree and non-membership degree with intervals for ILS in this paper. The oper...

An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic valu...

To deal with decision-making problems with interval neutrosophic uncertain linguistic information, the paper proposes a multiple attribute group decision-making method under an interval neutrosophic uncertain linguistic environment. Firstly, the concept of an interval neutrosophic uncertain linguistic set and an interval neutrosophic uncertain linguistic variable (INULV) is presented by combini...

Chinese language has quite different characteristic structures from those of English. There are at least word, character, syllable, Initial-Final levels in Chinese, each carrying different levels of information with complicated correlations among them. In this paper, we investigate the dependency of pronunciation variation in conversational Mandarin speech on these different levels under variou...

This paper attempts to present the new approach to design sufficient number of systematic fuzzy linguistics in matrix form and map the Fuzzy Linguistic Variable Matrix, which contains linguistic terms, into numeric domain using Fuzzy Normal Distribution based on the Parabola-based Membership Function. Existing fuzzy set theory is difficult to design the systematic and sufficient fuzzy linguisti...

In this contribution, an information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The user queries and IRS responses are modelled using different linguistic domains or label sets with different cardinalities and/or semantics. We present a method to process the multigranular linguistic information in the retrieval activity of the IRS. The system accept...