Novel similarity measures in spherical fuzzy environment and their applications

Seyfi-Shishavan, Seyed Amin; Gündoğdu, Fatma Kutlu; Farrokhizadeh, Elmira; Donyatalab, Yaser; Kahraman, Cengiz

doi:10.1016/j.engappai.2020.103837

Cited by 55 publications

(25 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After that, in 2020, Khan et al [31] introduced a new approach and related the distance and similarity measures for SFSs and their application in selection of mega project selection. Shishavan et al [32] extended the idea of similarity measure in the environment of SF information. Recently, Mahmood et al [33] further enhanced the idea of similarity measure and discussed it applications in pattern recognition and medical diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Some Novel Geometric Aggregation Operators of Spherical Cubic Fuzzy Information with Application

Ullah

Bashir

Anjum

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

Technology is quickly evolving and becoming part of our lives. Life has become better and easier due to the technologies. Although it has lots of benefits, it also brings serious risks and threats, known as cyberattacks, which are neutralized by cybersecurities. Since spherical fuzzy sets (SFSs) and interval-valued SFS (IVSFS) are an excellent tool in coping with uncertainty and fuzziness, the current study discusses the idea of spherical cubic FSs (SCFSs). These sets are characterized by three mappings known as membership degree, neutral degree, and nonmembership degree. Each of these degrees is spherical cubic fuzzy numbers (SCFNs) such that the summation of their squares does not exceed one. The score function and accuracy function are presented for the comparison of SCFNs. Moreover, the spherical cubic fuzzy weighted geometric (SCFWG) operators and SCF ordered weighted geometric (SCFOWG) operators are established for determining the distance between two SCFNs. Furthermore, some operational rules of the proposed operators are analyzed and multiattribute decision-making (MADM) approach based on these operators is presented. These methods are applied to make the best decision on the basis of risks factors as a numerical illustration. Additionally, the comparison of the proposed method with the existing methods is carried out; since the proposed methods and operators are the generalizations of existing methods, they provide more general, exact, and accurate results. Finally, for the legitimacy, practicality, and usefulness of the decision-making processes, a detailed illustration is given.

show abstract

Section: Introductionmentioning

confidence: 99%

Some Novel Geometric Aggregation Operators of Spherical Cubic Fuzzy Information with Application

Ullah

Bashir

Anjum

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Numerous scholars have applied the theory of T-SFS in the drawbacks of different fields. [25][26][27] The traditional multiobjective optimization based on ratio analysis (MOORA) technique was explored by Karande and Chakraborty. 28 Moreover, Balezentis and Zeng 29 was utilized the theory of the MULTIMOORA technique in the environment of interval-valued FS.…”

Section: Introductionmentioning

confidence: 99%

“…The T‐SFS has extensively utilized and received more attention from different scholars, due to its structure. Numerous scholars have applied the theory of T‐SFS in the drawbacks of different fields 25–27 …”

Section: Introductionmentioning

confidence: 99%

Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications

Mahmood

Warraich

Ali

et al. 2021

Int J of Intelligent Sys

View full text Add to dashboard Cite

In this manuscript, the technique of the generalized MULTIMOORA method is investigated by using the concept of a T‐spherical fuzzy set (T‐SFS), which is the modified idea of a picture fuzzy set to handle awkward and vague information in daily life problems. T‐SFS covers the degree of truth, abstinence, and falsity with a rule that the sum of the qth‐powers of all degrees is restricted to the unit interval. Moreover, for examining the interrelationships among any number of T‐SFSs, we construct the idea of T‐spherical fuzzy Dombi prioritized weighted arithmetic (T‐SFDPWA) aggregation operators, T‐spherical fuzzy Dombi prioritized arithmetic, T‐spherical fuzzy Dombi prioritized geometric, and T‐spherical fuzzy Dombi prioritized weighted geometric (T‐SFDPWG) aggregation operators are given. Then, the basic properties of T‐SFDPWA and T‐SFDPWG aggregation operators are investigated and discussed in some of their cases. The investigated operators based on T‐SFS are utilized in the environment of multiattribute decision‐making problems to find the consistency and proficiency of the developed operators. In last, we illustrated some numerical examples based on explored operators is to examine the reliability and validity of the investigated operators with the help of comparative analysis and graphical representations with some existing ideas to show the presented approaches are extensive powerful.

show abstract

“…Jin et al [38] utilized the logarithmic function to developed the novel SF AgOs under spherical FSs. Shishavan et al [39] established the list of similarity measures to tackle the uncertainty in the form of spherical fuzzy environment. Gündogdu and Kahraman [40] presented the new AHP technique to tackle the uncertainty in renewable energy and, in [41], discussed the spherical fuzzy QFD technique to tackle the uncertainty in robot technology development problems.…”

Section: Introductionmentioning

confidence: 99%

Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan

Khan

Abdullah

Ashraf

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socio-economic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE). Furthermore, based on these Yager operational laws, we develop a list of novel aggregation operators under NE. In addition, we design an algorithm to tackle the uncertainty to investigating the best solar power plant selection in five potential locations in Pakistan. A numerical example of solar power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

show abstract

Novel similarity measures in spherical fuzzy environment and their applications

Cited by 55 publications

References 33 publications

Some Novel Geometric Aggregation Operators of Spherical Cubic Fuzzy Information with Application

Some Novel Geometric Aggregation Operators of Spherical Cubic Fuzzy Information with Application

Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications

Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan

Contact Info

Product

Resources

About