A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection

Wan, Shouhong; Wang, Feng; Dong, Jiuying

doi:10.1016/j.asoc.2015.09.039

Cited by 60 publications

(21 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A prominent characteristic of IFS is that it assigns to each element a membership degree and a non-membership degree, and thus, it is more powerful to deal with uncertainty and vagueness in real applications than fuzzy set which is only assigns to each element a membership degree (Hsieh and Chan, 2016). The IFS has received more and more attention since its appearance (Xu, 2007;Yu, 2015;Boran and Akay, 2014;Wan, Wang and Dong, 2016;Zeng and Chen, 2015;Zeng and Xiao, 2016;Zeng, Su and Zhang, 2016).…”

Section: Introductionmentioning

confidence: 99%

Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity

Zhang

Zeng

2017

EURASIA J MATH SCI T

View full text Add to dashboard Cite

The main focus of this paper is to investigate intuitionistic linguistic information fusion based on Heronian mean. Two new intuitionistic linguistic aggregation operators called intuitionistic linguistic generalized Heronian mean (ILGHM) and intuitionistic linguistic generalized weighted Heronian mean (ILGWHM) operators, are introduced. The ILGHM and ILGWHM operators are characterized by the ability to deal with the intuitionistic linguistic multiple attribute decision making problems in which the attributes are interactive. Some desired properties and special cases with respect to the different parameter values in the developed operators are studied. Furthermore, a method based on the proposed operators is developed to deal with multiple attribute group decision making (MAGDM) method problems. Finally, an illustrative example concerning evaluation of scientific research capacity is provided to illustrate the decision-making process and to discuss the influences of different parameters on the decision-making results.

show abstract

Section: Introductionmentioning

confidence: 99%

Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity

Zhang

Zeng

2017

EURASIA J MATH SCI T

View full text Add to dashboard Cite

show abstract

“…23,27 Thus, numerous studies have focused on the development of the compromising methods and techniques by combining the proximity to the positiveideal solution and the remoteness from the negative-ideal solution (e.g., Refs. 26,[28][29][30][31][32][33]. Because the employment of the positive-ideal and negative-ideal solutions can facilitate the rationale underlying anchored judgments in human subjective decisionmaking processes, this paper proposes a similar concept of the closeness index with the positive-ideal and negative-ideal IVPF values and attempts to incorporate this concept into the proposed IVPF outranking method.…”

Section: A Closeness Index With Ideal Ivpf Valuesmentioning

confidence: 99%

An Interval-Valued Pythagorean Fuzzy Outranking Method with a Closeness-Based Assignment Model for Multiple Criteria Decision Making

Chen

2017

Int. J. Intell. Syst.

View full text Add to dashboard Cite

The concept of interval-valued Pythagorean fuzzy (IVPF) sets is capable of handling imprecise and ambiguous information and managing complex uncertainty in real-world applications. This paper focuses on multiple criteria decision analysis involving IVPF information and proposes a new outranking decision-making method that uses a closeness-based assignment model. In contrast to the existing assignment-based methodology, the uniqueness of this paper is the consideration of uncertain information represented by IVPF values, the determination of criterion-wise precedence rankings based on a closeness-based approach, and the development of a new measure for scalar representation. First, to underlie anchored judgments in subjective decision-making processes, this paper presents a compromising concept of the closeness index with the positive-ideal and negative-ideal IVPF values to identify criterion-wise precedence ranks among alternatives. Next, this paper defines the concept of matrices of precedence frequency and contribution to provide a basis for the proposed assignment model. To overcome the difficulty of lacking nontrivial scalar representations, a useful measure is also developed to appropriately describe IVPF values. Based on a closeness-based assignment approach, a novel outranking decision-making method is proposed to transform the extended criterion-wise ranks into the ultimate priority orders of the alternatives. The proposed method is first implemented in a practical problem of selecting a bridge construction method to demonstrate its feasibility and applicability. Moreover, its practicality and effectiveness are verified through a comparative analysis with relevant assignment-based approaches. Further comparative analyses with newly developed IVPF decision-making methods are conducted for both a risk evaluation problem and an investment problem to examine the advantages of the proposed method and extend the current technique by considering distinct preference information for adapting to the particularities in practice. C 2017 Wiley Periodicals, Inc.

show abstract

“…2014b; Li and Nan 2009; Wan et al. 2016a; Xu 2007a, b; Yu 2015a). In the field of MCDM, the primary objective is of the information aggregation process.…”

Section: Introductionmentioning

confidence: 99%

“…2016; Robinson and Amirtharaj 2015; Wan and Dong 2015; Wan et al. 2016a, b; Wang and Liu 2011; Xu and Yager 2006; Yu 2013a, b, 2015b; Yu and Shi 2015; Zhou et al. 2012).…”

Section: Introductionmentioning

confidence: 99%

Some series of intuitionistic fuzzy interactive averaging aggregation operators

Garg

2016

SpringerPlus

101

View full text Add to dashboard Cite

In this paper, some series of new intuitionistic fuzzy averaging aggregation operators has been presented under the intuitionistic fuzzy sets environment. For this, some shortcoming of the existing operators are firstly highlighted and then new operational law, by considering the hesitation degree between the membership functions, has been proposed to overcome these. Based on these new operation laws, some new averaging aggregation operators namely, intuitionistic fuzzy Hamacher interactive weighted averaging, ordered weighted averaging and hybrid weighted averaging operators, labeled as IFHIWA, IFHIOWA and IFHIHWA respectively has been proposed. Furthermore, some desirable properties such as idempotency, boundedness, homogeneity etc. are studied. Finally, a multi-criteria decision making method has been presented based on proposed operators for selecting the best alternative. A comparative concelebration between the proposed operators and the existing operators are investigated in detail.

show abstract

A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection

Cited by 60 publications

References 48 publications

Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity

Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity

An Interval-Valued Pythagorean Fuzzy Outranking Method with a Closeness-Based Assignment Model for Multiple Criteria Decision Making

Some series of intuitionistic fuzzy interactive averaging aggregation operators

Contact Info

Product

Resources

About