https://sci2s.ugr.es/sites/default/files/files/ScientificImpact/FSS-2000-v115-1-67-82.pdf

Linguistic decision analysis: steps for solving decision problems under linguistic information

https://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/0086_fss-78-73-87.pdf

A model of consensus in group decision making under linguistic assessments

A review of some methods for ranking fuzzy subsets

Ranking fuzzy numbers in the setting of possibility theory

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 information in an unique linguistic term set for an easy management of the information. This normalization process can produce a loss of information and hence a lack of precision in the final results. In this paper, we shall present a type of multigranular linguistic contexts we shall call linguistic hierarchies term sets, such that, when we deal with multigranular linguistic information assessed in these structures we can unify the information assessed in them without loss of information. To do so, we shall use the 2-tuple linguistic representation model. Afterwards we shall develop a linguistic decision model dealing with multigranular linguistic contexts and apply it to a multi-expert decision-making problem.

/pdf/a-model-based-on-linguistic-2-tuples-for-dealing-with-1fyk6j8zg7.pdf

A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making

A technique for making linguistic decsions is presented. Fuzzy sets are assued to be an appropriate way of dealng with uncertainty, and it b therefore cncluded that decisions taken on the basis of such infomation must themselves be fuzzy. It b inappriate then to present the decision in numencal form; a statement in natural angug is much better. For brevity only a single-stage multlabute decsion problem is considered. Solutions to such problems are shown using ideas in linguisc approximation and truth qualiction. An extensive example illuminates the basic ideas and techniques.

/pdf/a-linguistic-approach-to-decisionmaking-with-fuzzy-sets-21gxkpocm7.pdf

Richard M. Tong

Papers

A Linguistic Approach to Decisionmaking with Fuzzy Sets

Editorial: Reasoning with uncertainty in expert systems

Editorial: Fuzzy information processing