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

2012 ◽  
Vol 207 ◽  
pp. 1-18 ◽  
Author(s):  
L. Martı´nez ◽  
F. Herrera
2015 ◽  
Vol 21 (5) ◽  
pp. 720-737 ◽  
Author(s):  
Andrés CID-LÓPEZ ◽  
Miguel J. HORNOS ◽  
Ramón Alberto CARRASCO ◽  
Enrique HERRERA-VIEDMA

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.


2018 ◽  
Vol 24 (3) ◽  
pp. 1231-1257 ◽  
Author(s):  
Andr´es CID-LÓPEZ ◽  
Miguel J. HORNOS ◽  
Ram´on A. CARRASCO-GÓNZÁLEZ ◽  
Enrique HERRERA-VIEDMA

The market launch of new products and services is a basic pillar for large and medium-sized companies in the ICT (Information and Communications Technology) sector. Choosing the right moment for it is usually a differentiating factor in terms of competition, since it is a source of competitive advantage. There are several mechanisms and strategies to address this problem from the market perspective. However, the criteria of the different actors involved – managers, sales representatives, experts, etc. – coexist in the corporate sphere and they often differ, causing difficulties in priority setting processes in the launch of a product or service. The assessment of the prioritization of these criteria is usually expressed in natural language, thus adding a great deal of uncertainty. Fuzzy linguistic models have proved to be an efficient tool for managing the intrinsic uncertainty of this type of information. This paper presents a linguistic multi-criteria decision-making model, able to reconcile the different requirements and viewpoints existing in the corporate sector when planning the launch of new products and services. The proposed model is based on the fuzzy 2-tuple linguistic model, aimed at managing linguistic data expressing different corporate criteria, without compromising accuracy in the calculation of said data. In order to illustrate this, a practical case study is presented, in which the model is applied for scheduling the launch prioritization of several new products and services by a telecommunications company, within the deadlines set in its strategic planning.


2009 ◽  
Vol 8 (4) ◽  
pp. 337-364 ◽  
Author(s):  
F. Herrera ◽  
S. Alonso ◽  
F. Chiclana ◽  
E. Herrera-Viedma

2009 ◽  
Vol 8 (4) ◽  
pp. 323-324 ◽  
Author(s):  
F. Herrera ◽  
E. Herrera-Viedma ◽  
S. Alonso ◽  
F. Chiclana

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