Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios

Computing with Words (CW) is a methodology which takes an essential role in decision making problems, thus the first aim of this paper is to highlight the importance of CW in decision making. There are many proposals of CW models that can be classified in two main fields: approaches based on membership functions and approaches based on qualitative scales. This paper focuses on the qualitative scales since it provides a closer environment to human knowledge and more accurate results avoiding a loss of information. An analysis and discussion of the qualitative scales of linguistic values in CW for decision making is provided. Finally, we highlight the open challenges for the qualitative scales in linguistic decision making.

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Methodology of ECG Interpretation in the Padova Program

Methods of Information in Medicine ◽

10.1055/s-0038-1634804 ◽

1990 ◽

Vol 29 (04) ◽

pp. 386-392 ◽

Cited By ~ 12

Author(s):

R. Degani ◽

G. Bortolan

Keyword(s):

Decision Making ◽

Medical School ◽

Fuzzy Set ◽

Medical Knowledge ◽

Main Aspect ◽

Measurement Evaluation ◽

Possibility Distributions ◽

Linguistic Decision Making ◽

The University ◽

Ecg Interpretation

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.

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An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges

Information Sciences ◽

10.1016/j.ins.2012.04.025 ◽

2012 ◽

Vol 207 ◽

pp. 1-18 ◽

Cited By ~ 300

Author(s):

L. Martı´nez ◽

F. Herrera

Keyword(s):

Decision Making ◽

Computing With Words ◽

Linguistic Model

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A HYBRID MODEL FOR DECISION-MAKING IN THE INFORMATION AND COMMUNICATIONS TECHNOLOGY SECTOR

Technological and Economic Development of Economy ◽

10.3846/20294913.2015.1056281 ◽

2015 ◽

Vol 21 (5) ◽

pp. 720-737 ◽

Cited By ~ 11

Author(s):

Andrés CID-LÓPEZ ◽

Miguel J. HORNOS ◽

Ramón Alberto CARRASCO ◽

Enrique HERRERA-VIEDMA

Keyword(s):

Decision Making ◽

Intelligent System ◽

Daily Basis ◽

Information And Communications Technology ◽

Decision Making Process ◽

Computing With Words ◽

Communications Technology ◽

Qualitative Information ◽

Technology Sector ◽

Decision Making Model

The majority of businesses in the Information and Communications Technology (ICT) sector face decision-making problems on a daily basis. Most of these problems are based on contexts of uncertainty, where decisions are founded on qualitative information which may be imprecise or perception-based. In these cases, the information which is expressed by experts and users of evaluated services can be treated using processes of computing with words (CW). In this paper, we present a hybrid decision-making model especially designed for the ICT sector whereby the experts have the support of an intelligent system which provides information about the opinions of users related to those problems which are to be analysed. These opinions are obtained by using different mechanisms and techniques when users conduct business with the service provider. In addition, we employ a procedure for obtaining consensus between experts which enriches and strengthens the decision-making process.

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