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Refinado por: Nome da Publicação: Information Sciences remover
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Development of a fuzzy Likert scales to measure variables in social sciences
Development of a fuzzy Likert scales to measure variables in social sciences
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Development of a fuzzy Likert scales to measure variables in social sciences

Memmedova, Konul ; Ertuna, Banu

Information sciences, 2024-01, Vol.654, p.119792, Article 119792 [Periódico revisado por pares]

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Knowledge derivation from Likert scale using Z-numbers
Knowledge derivation from Likert scale using Z-numbers
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Knowledge derivation from Likert scale using Z-numbers

Anjaria, Kushal

Information sciences, 2022-04, Vol.590, p.234-252 [Periódico revisado por pares]

Elsevier Inc

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3
A method for measuring consensus within groups: An index of disagreement via conditional probability
A method for measuring consensus within groups: An index of disagreement via conditional probability
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A method for measuring consensus within groups: An index of disagreement via conditional probability

Akiyama, Yoshio ; Nolan, James ; Darrah, Marjorie ; Abdal Rahem, Mushtaq ; Wang, Lei

Information sciences, 2016-06, Vol.345, p.116-128 [Periódico revisado por pares]

Elsevier Inc

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4
Measuring consensus and dissensus: A generalized index of disagreement using conditional probability
Measuring consensus and dissensus: A generalized index of disagreement using conditional probability
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Measuring consensus and dissensus: A generalized index of disagreement using conditional probability

Tsuchiya, Yoichi ; Hiramoto, Naoki

Information sciences, 2018-05, Vol.439-440, p.50-60 [Periódico revisado por pares]

Elsevier Inc

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5
Strongly agree or strongly disagree?: Rating features in Support Vector Machines
Strongly agree or strongly disagree?: Rating features in Support Vector Machines
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Strongly agree or strongly disagree?: Rating features in Support Vector Machines

Carrizosa, Emilio ; Nogales-Gómez, Amaya ; Romero Morales, Dolores

Information sciences, 2016-02, Vol.329, p.256-273 [Periódico revisado por pares]

Elsevier Inc

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6
Fuzzy rating scales: Does internal consistency of a measurement scale benefit from coping with imprecision and individual differences in psychological rating?
Fuzzy rating scales: Does internal consistency of a measurement scale benefit from coping with imprecision and individual differences in psychological rating?
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Fuzzy rating scales: Does internal consistency of a measurement scale benefit from coping with imprecision and individual differences in psychological rating?

Lubiano, María Asunción ; García-Izquierdo, Antonio L. ; Gil, María Ángeles

Information sciences, 2021-03, Vol.550, p.91-108 [Periódico revisado por pares]

Elsevier Inc

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