In this paper, we propose some linguistic prioritized aggregation operators and uncertain linguistic prioritized aggregation operators for handling the multiple attribute group decision making problems in which the attributes and decision makers are in different priority level. F...
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Research Article10.9734/JSRR/2016/11862
In this paper, the Archimedean t-conorm- and t-norm-based interval-valued hesitant fuzzy ordered weighted averaging (A-IVHFOWA) operator and the Archimedean t-conorm- and t-norm-based interval-valued hesitant fuzzy ordered weighted geometric (A-IVHFOWG) operator are given by taki...
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Research Article10.9734/BJMCS/2016/27172
Aims: The aim of this paper is to provide a note on “Soft matrix theory and its decision making”. Study Design: In a recent paper [N. Cagman, S. Enginoglu, Soft matrix theory and its decision making, Computers and Mathematics with Applications 59 (10) (2010) 3308-3314], Çaðman an...
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Research Article10.9734/JSRR/2014/10507
As a combination of the fuzzy linguistic approach and the hesitant fuzzy set (HFS), hesitant fuzzy linguistic term set (HFLTS) is an efficient tool to deal with situations in which experts hesitate between several possible linguistic terms to assess the membership of an element i...
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Research Article10.9734/JSRR/2014/11116
Aims: The aim of this paper is to develop several 2-tuple linguistic power aggregation operators for aggregating 2-tuple linguistic information. Study Design: We first introduce several power aggregation operators and then extend these operators to 2-tuple linguistic environments...
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Research Article10.9734/JSRR/2014/11083
Aims: The aim of this paper is to present some 2-tuple prioritized aggregation operators for handling the multiple attribute group decision making problems where there exists a prioritization relationship over the attributes and decision makers. Study Design: Motivated by the ide...
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Research Article10.9734/BJMCS/2014/10710
This paper presents interval-valued 2-tuple prioritized aggregation operators for handling problems involving multiple attribute group decision making, where a prioritization relationship exists between attributes and decision makers. We first develop two interval-valued 2-tuple...
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Research Article10.9734/BJAST/2014/10714
In this paper, we discuss the statistical learning theory based on intuitionistic fuzzy random sample. First of all, we introduce the definition of intuitionistic fuzzy number intuitionistic fuzzy random variables. Secondly, we give some properties of this concept. Thirdly, the d...
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Research Article10.9734/BJMCS/2014/10385
Aims: This paper provides a systematic study on attribute reduction with interval-valued fuzzy rough sets. Study Design: The interval-valued fuzzy rough sets are an important improvement of traditional rough set model to deal with both fuzziness and vagueness in data which the tr...
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Research Article10.9734/BJMCS/2014/10426
Aims: The aim of this paper is to propose a note on “Soft set theory and uni-int decision making”. Study Design: In this note, we point out by an example that Çagman and Enginoglu’s method is very likely to get an empty decision set. Place and Duration of Study: In a recent paper...
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Research Article10.9734/AIR/2014/10508
Aims: The aim of this paper is to investigate group decision making based on induced generalized uncertain linguistic aggregation operators Study Design: In this paper, we propose some new operational laws of linguistic variables and uncertain linguistic variables on the basis of...
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Research Article10.9734/BJAST/2014/10169
Aims: The aim of this paper is to propose some intuitionistic trapezoidal fuzzy prioritized operators and interval-valued intuitionistic trapezoidal fuzzy prioritized operators for handling multiple attribute group decision making problems in which the attributes and decision mak...
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Research Article10.9734/BJMCS/2014/10133
Aims: The aim of this paper is to develop a novel method for dealing with multiple attribute group decision making (MAGDM) problems with hesitant fuzzy information, in which the attribute values provided by the decision makers take the form of hesitant fuzzy elements (HFEs), the...
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Research Article10.9734/BJMCS/2014/9944
Aims: The aim of this paper is to develop the 2-tuple linguistic Bonferroni mean and the weighted 2-tuple linguistic Bonferroni mean. Study Design: Some desirable properties and special cases of the developed operators are discussed. The geometric Bonferroni mean (GBM) is a gener...
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Research Article10.9734/BJMCS/2014/9590
Aims: The aim of this paper is to investigate interval-valued hesitant multiplicative preference relations and their application to multi-criteria decision making. Study Design: Based on pseudo-multiplication, we define some basic operations for the interval-valued hesitant multi...
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Research Article10.9734/BJMCS/2014/9095
Aims: The aim of this paper is to investigate weighted hesitant fuzzy sets and their application to multi-criteria decision making. Study Design: This paper puts forward the concept of a weighted hesitant fuzzy set (WHFS), in which several possible membership degrees of each elem...
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Research Article10.9734/BJMCS/2014/8533