In this paper, the authors propose an interval linguistic distribution model for multiple attribute decision making (MADM) problems with incomplete linguistic information, in which they use intervals as evaluators’ confidence levels indicating their belief degrees that a linguistic term fits an evaluation. By introducing the extent of ignoring information into this model, it can deal with incom...

Decision making is a process common to human beings. The uncertainty and fuzziness of problems demand the use of the fuzzy linguistic approach to model qualitative aspects of problems related to decision. The recent proposal of hesitant fuzzy linguistic term sets supports the elicitation of comparative linguistic expressions in hesitant situations when experts hesitate among different linguisti...

In those problems that deal with multiple sources of linguistic information we can find problems defined in contexts where the linguistic assessments are assessed in linguistic term sets with different granularity of uncertainty and/or semantics (multigranular linguistic contexts). Different approaches have been developed to manage this type of contexts, that unify the multigranular linguistic ...

purpose: english abstracts are the only way through which non-speaking readers can access persian papers, the quality of english abstracts from the viewpoint of semantic and syntax should be controlled. adopting a linguistic framework, the present study sought to determine the linguistic and orthographic problems embedded in english abstracts of msrt’s high ranking basic sciences journals, aimi...

In this paper, we investigate the multiple attribute decision making (MADM) problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the gene...

In this paper, the multi-person decision making problems with various different types of incomplete linguistic preference relations are studied. Some new concepts, including incomplete uncertain linguistic preference relation, incomplete triangular fuzzy linguistic preference relation, incomplete trapezoid fuzzy linguistic preference relation, expected incomplete linguistic preference relation ...

Based on linguistic term sets and hesitant fuzzy sets, the concept of hesitant fuzzy linguistic sets was introduced. The focus of this paper is the multicriteria decision-making (MCDM) problems in which the criteria are in different priority levels and the criteria values take the form of hesitant fuzzy linguistic numbers (HFLNs). A new approach to solving these problems is proposed, which is b...

Although linguistic models are highly descriptive, they su4er from inaccuracy in some complex problems. This fact is due to problems related to the in7exibility of the linguistic rule structure that has been considered. Moreover, methods often employed to design these models from data are also biased by the former structure and by their nature, which is close to prototype identi8cation algorith...