INTERVAL-VALUED FUZZY IDEALS IN ORDERED SEMIRINGS

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.4.57 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1983-1995

Author(s):

Y. Khandelwal ◽

P. Chancha ◽

R. Khandelwal

Keyword(s):

Interval Valued

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Models for Multiple Attribute Decision Making with Interval-Valued Pythagorean Fuzzy Muirhead Mean Operators and Their Application to Green Suppliers Selection

Informatica ◽

10.15388/informatica.2019.202 ◽

2019 ◽

Vol 30 (1) ◽

pp. 153-186 ◽

Author(s):

Xiyue Tang ◽

Guiwu Wei ◽

Hui Gao

Keyword(s):

Decision Making ◽

Multiple Attribute Decision Making ◽

Multiple Attribute ◽

Green Suppliers ◽

Interval Valued

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An Approach to Interval-Valued Hesitant Fuzzy Multi-Attribute Decision Making with Incomplete Weight Information Based on Hybrid Shapley Operators

Informatica ◽

10.15388/informatica.2014.32 ◽

2014 ◽

Vol 25 (4) ◽

pp. 617-642 ◽

Author(s):

Fanyong Meng ◽

Xiaohong Chen

Keyword(s):

Decision Making ◽

Incomplete Weight ◽

Incomplete Weight Information ◽

Multi Attribute Decision Making ◽

Interval Valued

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A New Similarity Measure of Interval-Valued Intuitionistic Fuzzy Sets and its Application in Commodity Recommendation

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v13i1.16864 ◽

2018 ◽

Vol 13 (1) ◽

pp. 28

Author(s):

Peng Luo ◽

Yongli Li ◽

Chong Wu

Keyword(s):

Similarity Measure ◽

Intuitionistic Fuzzy Sets ◽

Intuitionistic Fuzzy ◽

Interval Valued

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INTERVAL-VALUED DUAL HESITANT FUZZY INFORMATION AGGREGATION AND ITS APPLICATION IN MULTIPLE ATTRIBUTE DECISION MAKING

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2018021197 ◽

2018 ◽

Vol 8 (4) ◽

pp. 361-382 ◽

Author(s):

Xindong Peng ◽

Jingguo Dai ◽

Lin Liu

Keyword(s):

Decision Making ◽

Information Aggregation ◽

Multiple Attribute Decision Making ◽

Fuzzy Information ◽

Multiple Attribute ◽

Interval Valued

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Multi-attribute Decision Making with Uncertain Attribute Weight Information in the Framework of Interval-valued Intuitionistic Fuzzy Set

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2012.00220 ◽

2012 ◽

Vol 38 (2) ◽

pp. 220-228 ◽

Author(s):

Ying-Jun ZHANG ◽

Pei-Jun MA ◽

Xiao-Hong SU ◽

Chi-Ping ZHANG

Keyword(s):

Decision Making ◽

Fuzzy Set ◽

Intuitionistic Fuzzy Set ◽

Attribute Weight ◽

Intuitionistic Fuzzy ◽

Multi Attribute Decision Making ◽

Interval Valued

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INTERVAL VALUED INTUITIONISTIC FUZZY BI-IDEALS IN BOOLEAN LIKE SEMI RINGS

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.5.21 ◽

2020 ◽

Vol 9 (5) ◽

pp. 2583-2594

Author(s):

R. Rajeswari ◽

S. Ragha ◽

N. Meenakumari

Keyword(s):

Intuitionistic Fuzzy ◽

Interval Valued

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Viewing the General Theory as a Synthesis: Keynes's Unique, Theoretical Contributions in the General Theory are All Based on His A Treatise on Probability Approach to Expectations (Interval Valued Probabilities) and Confidence (Weight of the Evidence)

SSRN Electronic Journal ◽

10.2139/ssrn.2990866 ◽

2017 ◽

Author(s):

Michael Emmett Brady

Keyword(s):

General Theory ◽

Probability Approach ◽

Interval Valued

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On J M Keynes's Original Contributions to Decision Making Under Uncertainty: Indeterminate, Interval Valued Probabilities in Part II of the a Treatise on Probability and Imprecise, Interval Valued Probabilities in Part V of the a Treatise on Probability

SSRN Electronic Journal ◽

10.2139/ssrn.3069679 ◽

2017 ◽

Author(s):

Michael Emmett Brady

Keyword(s):

Decision Making ◽

Decision Making Under Uncertainty ◽

Interval Valued

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J M Keynes’s Logical Theory of Probability in the A Treatise on Probability (1921) Is Based on the Interval Valued Approach of Boole and Not on the Principle of Indifference, Which Was of Minor Concern to Keynes, or Ordinal Probability or Rank Ordering

SSRN Electronic Journal ◽

10.2139/ssrn.3392823 ◽

2019 ◽

Author(s):

Michael Emmett Brady

Keyword(s):

Logical Theory ◽

Rank Ordering ◽

Principle Of Indifference ◽

Interval Valued

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Linear Regression Models for Interval-Valued Data using Log-transformation

Anais do 14. Congresso Brasileiro de Inteligência Computacional ◽

10.21528/cbic2019-3 ◽

2020 ◽

Author(s):

Nykolas Mayko Maia Barbosa ◽

João Paulo Pordeus Gomes ◽

César Lincoln Cavalcante Mattos ◽

Diêgo Farias Oliveira

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Regression Models ◽

Log Transformation ◽

Interval Valued

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