Linguistic interval 2-tuple power aggregation operators and their applications

Ruan, Yanli; Pei, Zheng; Gao, Zhisheng

doi:10.1080/18756891.2013.777168

Cited by 11 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In literature, fuzzy GDM approaches have been studied to deal with such challenges [37][38][39][40] . The fuzzy set theory can be utilized in overcoming the decision making problems for treating uncertainty.…”

Section: Group Decision Makingmentioning

confidence: 99%

An Extended Quality Function Deployment Incorporating Fuzzy Logic and GDM Under Different Preference Structures

Büyüközkan¹,

Çifçi²

2015

IJCIS

View full text Add to dashboard Cite

The paper proposes a fuzzy logic-based group decision making (GDM) approach, which can be used for quality function deployment (QFD) in the development of product improvement strategies. Decision makers can state their preferences in various ways, including incomplete preferences which are difficult to evaluate in a coherent way. We extend the QFD methodology by using a GDM approach which considers multiple preference formats and incomplete information. Finally, a numerical analysis for "Portable Entertainment and Game Systems" design is given to verify the feasibility of the model.

show abstract

Section: Group Decision Makingmentioning

confidence: 99%

An Extended Quality Function Deployment Incorporating Fuzzy Logic and GDM Under Different Preference Structures

Büyüközkan¹,

Çifçi²

2015

IJCIS

View full text Add to dashboard Cite

show abstract

“…In order to develop an approach for consensus problems in which expert preference information is expressed uncertain linguistic preference relations, Xu et al [27] introduced uncertain 2-tuple linguistic variables (ULVs 2-tuple ) and uncertain 2-tuple linguistic weighed averaging (ULWA 2-tuple ) operator. As far as the interval-valued LA 2-tuple are concerned, some new uncertain (or interval-valued) LA 2-tuple were proposed in many literatures [28][29][30][31][32][33][34]. Whilst, some kinds of MAGDM methods based on these aggregation operators were also developed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method Based on Extended Uncertain 2-tuple Linguistic Muirhead Mean Operators to MAGDM under Uncertain 2-Tuple Linguistic Environment

Liu¹,

Li²,

Ya³

et al. 2019

IJCIS

View full text Add to dashboard Cite

The present work is focused on multi-attribute group decision-making (MAGDM) problems with the uncertain 2-tuple linguistic information (ULI 2-tuple ) based on new aggregation operators which can capture interrelationships of attributes by a parameter vector P. To begin with, we present some new uncertain 2-tuple linguistic MM aggregation (UL 2-tuple -MM) operators to handle MAGDM problems with ULI 2-tuple , including the uncertain 2-tuple linguistic Muirhead mean (UL 2-tuple -MM) operator, uncertain 2-tuple linguistic weighted Muirhead mean (UL 2-tuple -WMM) operator. In addition, we extend UL 2-tuple -WMM operator to a new aggregation operator named extended uncertain 2-tuple linguistic weighted Muirhead mean (EUL 2-tuple -WMM) operators in order to handle some decision-making problems with ULI 2-tuple whose attribute values are expressed in ULI 2-tuple and attribute weights are also 2-tuple linguistic information. Whilst, the some properties of these new aggregation operators are obtained and some special cases are discussed. Moreover, we propose a new method to solve the MAGDM problems with ULI 2-tuple . Finally, a numerical example is given to show the validity of the proposed method and the advantages of proposed method are also analysed.

show abstract