Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions

Agell, Núria; Sánchez, Mónica; Prats, Francesc; Roselló, Llorenç

doi:10.1016/j.ins.2012.05.005

Cited by 55 publications

(37 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In group decision evaluation processes, it is not unusual for a situation to arise in which different levels of precision have to be used simultaneously depending on the information available to each expert. QR tackles the problem of integrating the representation of existing uncertainty within the group (Agell et al 2012).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

show abstract

Section: Related Workmentioning

confidence: 99%

“…It is inspired by a previous ranking method introduced by Agell et al (2012). The presented method is compared with another MCDM approach based on a modified fuzzy TOPSIS method developed by Chen (2000).…”

Section: Introductionmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…A method for computing distances between k-dimensional vectors of labels is presented in Agell et al (2012) …”

Section: B2 a Distance Between K-dimensional Vectors Of Labelsmentioning

confidence: 99%

“…The one-dimensional absolute order-of-magnitude qualitative model (Agell et al 2012;Travé-Massuyès and Dague 2003) works with a finite number of qualitative labels corresponding to an ordinal scale of measurement. The number of labels chosen to describe a real problem is not fixed, but depends on the characteristics of each represented variable.…”

Section: Appendix A: the Qualitative Absolute Order-of-magnitude Modelmentioning

confidence: 99%

A measure of perceived performance to assess resource allocation

et al. 2015

Self Cite

View full text Add to dashboard Cite

Performance measurement is a key issue when a company is designing new strategies to improve resource allocation. This paper offers a new methodology inspired by classic importance-performance analysis (IPA) that provides a global index of importance versus performance for firms. This index compares two rankings of the same set of features regarding importance and performance, taking into account underperforming features. The marginal contribution of each feature to the proposed global index defines a set of iso-curves that represents an improvement in the IPA diagram. The defined index, together with the new version of the diagram, will enable the assessment of a firm's overall performance and, therefore, enhance decision making in the allocation of resources. The proposed methodology has been applied to a Taiwanese multi-format retailer and managerial Communicated by V. Loia.

show abstract

“…The MCDM methods have been widely used as useful tool due to its broad applications in real world problems 4,29,36,41 . When MCDM methods are extended for groups of decision makers, these methods are denominated multicriteria group decision-making methods (MCGDM) 2,5,17,20 .…”

Section: Introductionmentioning

confidence: 99%

Pure linguistic PROMETHEE I and II methods for heterogeneous MCGDM problems

Espinilla¹,

Halouani²,

Chabchoub³

2015

IJCIS

View full text Add to dashboard Cite

The PROMETHEE methods basic principle is focused on a pairwise comparison of alternatives for each criterion, selecting a preference function type that often requires parameters in order to obtain a preference value. When a MCGDM problem is defined in an heterogeneous context, an adequate and common approach is to unify the involved information in linguistic values. However, for each criterion, there is a difficulty to select the specific preference function and define its parameters because they are expressed by crisp values in the unit interval, when the information involved in the problem has been unified into linguistic values. In this paper, a methodology for modeling linguistic preference functions in order to facilitate the selecting of each linguistic preference function type and the definition of its parameters is proposed, providing a more realistic definition of the criteria. Therefore, a generic linguistic preference function is proposed whose inputs and outputs are linguistic values. According to the generic linguistic preference function, six basic preference function types are extended for linguistic values. To do so, a linguistic difference function between linguistic values is defined, being its output, the input of the linguistic preference function. Furthermore, the proposed methodology is integrated in linguistic PROMETHEE I and II for heterogeneous MCGDM problems to obtain partial rankings and a full ranking of alternatives. So, the methodology provides pure linguistic PROMETHEE I and II that offer interpretability and understandability. Finally, the feasibility and applicability of pure linguistic PROMETHEE I and II are illustrated in a case study for the selection of a green supplier.

show abstract

Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions

Cited by 55 publications

References 29 publications

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

A measure of perceived performance to assess resource allocation

Pure linguistic PROMETHEE I and II methods for heterogeneous MCGDM problems

Contact Info

Product

Resources

About