Computing with Words in Decision support Systems: An overview on Models and Applications

By Luis Martínez-López, Da Ruan, Francisco Herrera. International Journal of Computational Intelligence Systems, 2010

299 citations recorded by the source corpus.

Decision making is inherent to mankind, as human beings daily face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments with vague and imprecise information. This type of information is usually modelled by linguistic information because of the common use of language by the experts involved in the given decision situations, originating linguistic decision making. The use of linguistic information in decision making demands processes of Computing with Words to solve the related decision problems. Different methodologies and approaches have been proposed to accomplish such processes in an accurate and interpretable way. The good performance of linguistic computing dealing with uncertainty has caused a spread use of it in different types of decision based applications. This paper overviews the more significant and extended linguistic computing models due to its key role in linguistic decision making and a wide range of the most recent applications of linguistic decision support models.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/16c6c16c98325e07bfcd099af2ea049fdcb758d3

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Citations in the corpus

A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making (2014, background): “The use of linguistic information implies the need for computing with words (CWW) processes [12, 17, 41] that can be carried out by different linguistic computational models [12, 17].”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, background): “E-mail addresses: martin@ujaen.es (L. Martı́nez) Many real world problems need to deal with uncertainty, therefore the management of such uncertainty is usually a big challenge.”
Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, methodology): “In literature, MAGDM problems involving uncertainty are usually dealt with linguistic modeling that implies computing with words (CW) processes to obtain accurate and easily understood results [5], [6].”
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets (2013, unknown): “In this phase the linguistic expressions of the preference relations provided by experts are transformed into linguistic intervals to facilitate the processes of CWW in the selection phase .”
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “Virtual linguistic terms have no practical meaning; their main role is ranking the alternatives [29].”