The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
A mass assignment theory of the probability of fuzzy events
Fuzzy Sets and Systems
Combining numerical and linguistic information in group decision making
Information Sciences: an International Journal
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology
Fuzzy Sets and Systems - Theme: Learning and modeling
A framework for linguistic modelling
Artificial Intelligence
Linguistic models and linguistic modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
A proposal for improving the accuracy of linguistic modeling
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Journal of Biomedical Informatics
Generalised Label Semantics as a Model of Epistemic Vagueness
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Linguistic modelling and information coarsening based on prototype theory and label semantics
International Journal of Approximate Reasoning
Uncertainty modelling for vague concepts: A prototype theory approach
Artificial Intelligence
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making
Granular knowledge representation and inference using labels and label expressions
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Expert Systems with Applications: An International Journal
A prototype-based rule inference system incorporating linear functions
Fuzzy Sets and Systems
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A probabilistic model for linguistic multi-expert decision making involving semantic overlapping
Expert Systems with Applications: An International Journal
Analysis and design of internet monitoring system on public opinion based on cloud computing and NLP
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Fuzzy decision making based on hesitant fuzzy linguistic term sets
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Information Sciences: an International Journal
Using L-fuzzy sets to introduce information theory into qualitative reasoning
Fuzzy Sets and Systems
Information Sciences: an International Journal
Allowing agents to be imprecise: A proposal using multiple linguistic terms
Information Sciences: an International Journal
Multi-criteria group decision making method based on intuitionistic linguistic aggregation operators
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.21 |
In classical linguistic modelling for imprecise concepts and uncertain reasoning, a basic idea is to use fuzzy sets to describe the semantics of imprecise concepts, the theoretic foundation of this modelling is fuzzy logic. But in some practical applications, the determination of membership functions associated with vague concepts is difficult or impossible. In this paper, we present a new linguistic modelling technique based on the semantic similarity relation among linguistic labels. In this new linguistic model, a fuzzy relation is utilized to represent the semantic relation among linguistic labels. The elements in the fuzzy relation are interpreted as the degrees of similarities or the degrees of semantic overlapping between the corresponding linguistic labels. We develop an inference method for computing the degree of similarity between any two linguistic expressions which are the logic formulas generated by applying the logic connectives to the linguistic labels. This inference method utilizes the consonant mass assignment functions induced from the fuzzy similarity relation on linguistic labels. We show that the linguistic model presented in this paper satisfies some perfect properties, e.g. the excluded middle law, law of non-contradiction. This new linguistic modelling is illustrated finally in a linguistic decision-making example.