Trapezium cloud TOPSIS method with interval-valued intuitionistic hesitant fuzzy linguistic information

Joshi, Dheeraj Kumar; Kumar, Sanjay

doi:10.1007/s41066-017-0062-5

Cited by 35 publications

(7 citation statements)

References 63 publications

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“…this method provides an impact and relationship analysis. Additionally, TOPSIS method also provides accurate solutions by considering uncertainty in order to make decision in complex situation [93][94][95].…”

Section: An Application On Turkish Development Plansmentioning

confidence: 99%

An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics

Dınçer¹,

Uzunkaya²,

Yüksel³

2019

IJCIS

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The novelty of the study is to propose a hybrid IT2 decision-making approach under the hesitant fuzzy linguistic sets for evaluating the criteria and alternatives. For this purpose, the dimensions and criteria are weighted with interval type-2 fuzzy DEMATEL and the economic development plans are ranked by using interval type-2 fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. Thus, it is possible to evaluate the multicriteria decision-making problem under the hesitancy more accurately by the extended method.

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Section: An Application On Turkish Development Plansmentioning

confidence: 99%

An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics

Dınçer¹,

Uzunkaya²,

Yüksel³

2019

IJCIS

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“…Due to this characteristics the HFS has been widely used by researchers. For example in [26] Ullah et al developed bipolar HFS and then Mahmood et al [27] some aggregation operators by using cubic HFS with its application in decision making. Similarly, the HFS has been used by Alcantud et al [1] and developed some theorems and extension peinciples.…”

Section: Introductionmentioning

confidence: 99%

Similarity Measures based on the Novel Interval-valued Picture Hesitant Fuzzy Sets and their Applications in Pattern Recognition

Ahmad

Mahmood

Ullah

et al. 2022

Punjab Univ. j. math.

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“…Scholars from different fields conducted many important studies, making the extant results fruitful. For example, a theory combining hesitance with the well‐known fuzzy sets theory was recently developed along with a new extension of fuzzy sets called hesitant fuzzy sets; this theory and related applications have been further developed . However, some parts of hesitance phenomena deserve further study because hesitance is a very significant human behavior but is subtle, complex, abstruse, and paradoxical.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a theory combining hesitance with the well-known fuzzy sets theory was recently developed along with a new extension of fuzzy sets called hesitant fuzzy sets 1 ; this theory and related applications have been further developed. [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] However, some parts of hesitance phenomena deserve further study because hesitance is a very significant human behavior but is subtle, complex, abstruse, and paradoxical. Actually, hesitance can also be regarded as a type of uncertainty phenomenon, [21][22][23][24] and one may recall from Atanassov's intuitionistic fuzzy set theory [25][26][27] that the uncertainty, from a special aspect, is embodied by a closed interval [a, b] of [0, 1] with b a π − = representing the uncertainty or hesitance degree.…”

Section: Introductionmentioning

confidence: 99%

Eliciting and measuring hesitance in decision‐making

Jin

2019

Int J Intell Syst

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Hesitance is an innate human psychological phenomenon pervasive in our daily life. Although it is very complex and still not fully understood, there have been many studies related to this interesting topic. In this study, we proposed two fundamental problems about hesitance: the first is the generating problem, which is related to how to elicit hesitance information from human thinking; the second is the measuring problem, which is related to how to devise effective and reasonable methods to measure hesitance degrees from given hesitance information. With these two fundamental questions, we first discussed and analyzed several examples in real life involving hesitance, showing that it can indeed be recorded and represented. Then we roughly classified the hesitance information into two major classes: static hesitance and dynamic hesitance. Some simple and interesting methods were proposed to elicit hesitance, and more reasonable methods were proposed to measure the hesitance degree from the two classes of hesitance information. All methods that have been discussed in this study try to avoid complexity in every aspect while reserving strictness and reasonability; therefore, the present study provides suitable information for practitioners with different backgrounds.

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Trapezium cloud TOPSIS method with interval-valued intuitionistic hesitant fuzzy linguistic information

Cited by 35 publications

References 63 publications

An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics

An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics

Similarity Measures based on the Novel Interval-valued Picture Hesitant Fuzzy Sets and their Applications in Pattern Recognition

Eliciting and measuring hesitance in decision‐making

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