AN APPROACH FOR COMBINING LINGUISTIC AND NUMERICAL INFORMATION BASED ON THE 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING-Reference-Cited by-同舟云学术

AN APPROACH FOR COMBINING LINGUISTIC AND NUMERICAL INFORMATION BASED ON THE 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING

Published:2000-10 Issue:05 Volume:08 Page:539-562
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

HERRERA F.¹,MARTINEZ L.²

Affiliation:

1. Department of Computer Sciences and A.I. University of Granada, 18071 – Granada, Spain

2. Department of Computer Science, University of Jaén, 23071 – Jaén, Spain

Abstract

In this paper we shall develop a procedure for combining numerical and linguistic information without loss of information in the transformation processes between numerical and linguistic information, taking as base for representing the information the 2-tuple fuzzy linguistic representation model. We shall analyze the conditions to impose the linguistic term set in order to ensure that the combination procedure does not produce any loss of information. Afterwards the aggregation process will be applied to a decision procedure over a multi-attribute decision-making problem dealing with numerical and linguistic information, that is, with qualitative and quantitative attributes.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488500000381

Reference30 articles.

1. The concept of a linguistic variable and its application to approximate reasoning—I

2. Combining numerical and linguistic information in group decision making

3. An evidential reasoning approach for multiple-attribute decision making with uncertainty

Cited by 383 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Selection of electric bus models using 2-tuple linguistic T-spherical fuzzy-based decision-making model;Expert Systems with Applications;2024-09

2. An integrated CRITIC-MABAC model under 2-tuple linguistic cubic q-rung orthopair fuzzy information with advanced aggregation operators, designed for multiple attribute group decision-making;The Journal of Supercomputing;2024-08-30

3. A combined exponential TODIM-GRA framework for multiple-attribute group decision-making under 2-tuple linguistic Pythagorean fuzzy sets and applications to art teaching quality evaluation in higher education institutions;Soft Computing;2024-07-05

4. A multiple attribute group decision making model based on 2-tuple linguistic pythagorean fuzzy dombi aggregation operators for optimal selection of potential global suppliers;Heliyon;2024-07

5. Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making;Frontiers in Artificial Intelligence;2024-06-03