Selection of eco-friendly cities in Turkey via a hybrid hesitant fuzzy decision making approach

Boyacı, Aslı Çalış

doi:10.1016/j.asoc.2020.106090

Cited by 19 publications

(2 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mohagheghi and Mousavi ( 2019 ) developed interval‐valued PFS‐based ARAS and demonstrated the validity of the method in a sustainable project portfolio evaluation problem. Çalış Boyacı ( 2020 ) developed the hesitant fuzzy linguistic ARAS version and performed it in the selection of the most eco‐friendly city of Turkey. The first attempt integrating ARAS and FF numbers belongs to this study for the first time in the literature and the algorithm of the proposition is given below.…”

Section: Ffs‐based Madmmentioning

confidence: 99%

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Gül

2021

Expert Systems

View full text Add to dashboard Cite

The multiple attribute decision‐making models are empowered with the support of fuzzy sets such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also neutrosophic sets, etc. These concepts generate varying representation opportunities for the decision‐maker's preferences and expertise. Pythagorean and Fermatean fuzzy sets are special cases of q‐rung orthopair fuzzy set when q = 2 and q = 3, respectively. From a geometric perspective, the latter provides a broader representation domain than the former does. In this study, the emerging concept of Fermatean fuzzy set is studied in detail and three well‐known multi‐attribute evaluation methods, namely SAW, ARAS, and VIKOR are extended under Fermatean fuzzy environment. In this manner, the decision‐makers will have more freedom in specifying their preferences, thoughts, and expertise, and the abovementioned decision approaches will be able to handle this new type of data. The applicability of the propositions is shown in determining the best Covid‐19 testing laboratory which is an important topic of the ongoing global health crisis. To validate the proposed methods, a benchmark analysis covering the results of the existing Fermatean fuzzy set‐based decision methods, namely TOPSIS, WPM, and Yager aggregation operators is presented.

show abstract

Section: Ffs‐based Madmmentioning

confidence: 99%

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Gül

2021

Expert Systems

View full text Add to dashboard Cite

show abstract

“…Wei et al (2013) proposed some operators and comparison methods based on HFLTSs. Besides, HFLTSs have been applied in practical decision making problems, such as the strategic management of liquor brands (Liao et al 2020), the selection of eco-friendly cities (Boyaci 2020), and the selection of specific medicines for the COVID-19 (Ren et al 2020). However, the weights of different linguistic terms in HFLTSs are not all the same.…”

Section: Introductionmentioning

confidence: 99%

$$\chi$$-linguistic sets and its application for the linguistic multi-attribute group decision making

Xian,

Liu,

Xian

et al. 2024

Artif Intell Rev

View full text Add to dashboard Cite

The information in the real world often contains many properties such as fuzziness, randomness, and approximation. Although existing linguistic collections attempt to solve these problems, with the emergence of more and more constraints and challenges, this information cannot fully express the problem, leading to an increasing demand for methods that can contain multiple uncertain information. In this paper, we comprehensively consider the various characteristics of information including membership degree, credibility and approximation based on rough sets, and propose the concept of $$\chi$$ χ -linguistic sets ($$\chi$$ χ LSs), which depend on original data rather than prior knowledge and effectively solve the problem of incomplete information representation. At the same time, the corresponding theories such as the comparison method and operational rules have also been proposed. Subsequently, we construct a new $$\chi$$ χ -linguistic VIKOR ($$\chi$$ χ LVIKOR) method for multi-attribute group decision making (MAGDM) problem with $$\chi$$ χ LSs, and apply it to the risk assessment of COVID-19. Through comparative analysis, we discuss the effectiveness and superiority of $$\chi$$ χ LSs.

show abstract

Z‐uncertain probabilistic linguistic variables and its application in emergency decision making for treatment of COVID‐19 patients

Chai

Xian

2020

Int J Intell Syst

View full text Add to dashboard Cite

Probabilistic linguistic term sets (PLTSs) have many applications in the field of group decision making (GDM) because it includes both linguistic evaluation and probabilistic distribution when expressing preference information. However, the difference of information credibility in PLTSs is ignored, resulting in an inaccurate representation of decision information and unreasonable probability calculation. In this paper, we first consider the credibility of the information and propose the concept of Z-uncertain probabilistic linguistic variables (Z-UPLVs). Subsequently, the operational rules, normalization, distance and similarity measures, and comparison method of Z-UPLVs are introduced. Then, a probability calculation method based on credibility, an extended TOPSIS method, and some operators are proposed, which can be applied to emergency decision making in the Z-uncertain probabilistic linguistic (Z-UPL) environment. Finally, an emergency decision-making case of COVID-19 patients and comparative analysis illustrate the necessity and effectiveness of this method.

show abstract

Selection of eco-friendly cities in Turkey via a hybrid hesitant fuzzy decision making approach

Cited by 19 publications

References 64 publications

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

$$\chi$$-linguistic sets and its application for the linguistic multi-attribute group decision making

Z‐uncertain probabilistic linguistic variables and its application in emergency decision making for treatment of COVID‐19 patients

Contact Info

Product

Resources

About