Linguistic Multi-Expert Decision Making Involving Semantic Overlapping

  title={Linguistic Multi-Expert Decision Making Involving Semantic Overlapping},
  author={Hongbin Yan and Van-Nam Huynh and Yoshiteru Nakamori},
This paper presents a probabilistic model for linguistic multi-expert decision making (MEDM), which is able to deal with vague concepts in linguistic aggregation and decision-makers’ preference information in choice function. In linguistic aggregation phase, the vagueness of each linguistic judgement is captured by a possibility distribution on a set of linguistic labels. A confidence parameter is also incorporated into the basic model to model experts’ confidence degree. The basic idea of this… 



A Collective Decision Model Involving Vague Concepts and Linguistic Expressions

  • Yongchuan Tang
  • Linguistics, Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2008
The main advantage of this proposed model is its capability to deal with complex linguistic evaluations and partial semantic overlapping among neighboring linguistic labels.

Linguistic-labels aggregation and consensus measure for autocratic decision making using group recommendations

  • D. Ben-AriehZ. Chen
  • Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
  • 2006
By introducing a new linguistic-labels aggregation operation, a procedure for handling an autocratic group decision-making process under linguistic assessments is presented and results in two consequent outcomes: a group-based recommendation, and a score for each expert, reflecting the expert's contribution towards the group recommendation.

A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments

  • V. HuynhY. Nakamori
  • Business
    IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2005
A multiexpert decision-making method with linguistic assessments, making use of the notion of random preferences and a so-called satisfactory principle, that says that it is perfectly satisfactory to select an alternative as the best if its performance is as at least "good" as all the others under the same evaluation scheme.

A linguistic modeling of consensus in group decision making based on OWA operators

A "soft" consensus degree referred to a fuzzy majority of the experts is proposed based on the concept of linguistic quantifier within fuzzy set theory by ordered weighted average (OWA) operators.

Linguistic modelling based on semantic similarity relation among linguistic labels

A methodology for computing with words

  • J. Lawry
  • Computer Science, Linguistics
    Int. J. Approx. Reason.
  • 2001

A framework for linguistic modelling

  • J. Lawry
  • Computer Science
    Artif. Intell.
  • 2004

Appropriateness measures: an uncertainty model for vague concepts

It is proposed that uncertainty in the decision making process required for selecting assertible vague descriptions of an object is quantified by a measure corresponding to an agent’s subjective belief that a vague concept label can be appropriately used to describe a particular object.

A consensus model for multiperson decision making with different preference structures

The main improvement of this consensus model is that it supports consensus process automatically, without moderator, and, in such a way, the possible subjectivity that the moderator can introduce in the consensus process is avoided.

Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps

This chapter discusses the basic elements of the theory: possibility and necessity measures, the minimal specificity principle which underlies the whole theory, the notions of possibilitic conditioning and possibilistic independence, the combination, and projection of joint possibility distributions, as well as the possibIListic counterparts to integration.