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1
Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision-making
Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision-making
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Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision-making

Sun, Bingzhen ; Ma, Weimin ; Chen, Xiangtang

Expert systems, 2015-08, Vol.32 (4), p.507-521 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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2
Variable precision intuitionistic fuzzy rough set model and applications based on conflict distance
Variable precision intuitionistic fuzzy rough set model and applications based on conflict distance
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Variable precision intuitionistic fuzzy rough set model and applications based on conflict distance

Liu, Yong ; Lin, Yi ; Zhao, Huan-huan

Expert systems, 2015-04, Vol.32 (2), p.220-227 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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3
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
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Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players

Balli, Serkan ; Korukolu, Serdar

Expert systems, 2014-02, Vol.31 (1), p.56-69 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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4
A novel two-stage model for cloud service trustworthiness evaluation
A novel two-stage model for cloud service trustworthiness evaluation
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A novel two-stage model for cloud service trustworthiness evaluation

Fan, Wenjuan ; Yang, Shanlin ; Pei, Jun

Expert systems, 2014-05, Vol.31 (2), p.136-153 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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5
Neurofuzzy models to automate the grading of old-age depression
Neurofuzzy models to automate the grading of old-age depression
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Neurofuzzy models to automate the grading of old-age depression

Chattopadhyay, Subhagata

Expert systems, 2014-02, Vol.31 (1), p.48-55 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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6
A novel maritime risk assessment model incorporating a fuzzy rule-based approach
A novel maritime risk assessment model incorporating a fuzzy rule-based approach
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A novel maritime risk assessment model incorporating a fuzzy rule-based approach

Ung, Shuen-Tai

Expert systems, 2014-11, Vol.31 (5), p.398-408 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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7
Exploring the relationship between system development life cycle and knowledge accumulation in Taiwan's IT industry
Exploring the relationship between system development life cycle and knowledge accumulation in Taiwan's IT industry
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Exploring the relationship between system development life cycle and knowledge accumulation in Taiwan's IT industry

Lai, Wen-Hsiang ; Tsen, Hsin-Cheng

Expert systems, 2013-05, Vol.30 (2), p.173-182 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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8
Classification of fuzzy data based on the support vector machines
Classification of fuzzy data based on the support vector machines
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Classification of fuzzy data based on the support vector machines

Forghani, Yahya ; Sadoghi Yazdi, Hadi ; Effati, Sohrab

Expert systems, 2013-11, Vol.30 (5), p.403-417 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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9
Fuzzy machine vision based clip detection
Fuzzy machine vision based clip detection
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Fuzzy machine vision based clip detection

Mehran, Pejman ; Demirli, Kudret ; Surgenor, Brian

Expert systems, 2013-09, Vol.30 (4), p.352-366 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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10
Relaxed constraints support vector machine
Relaxed constraints support vector machine
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Relaxed constraints support vector machine

Sabzekar, Mostafa ; Yazdi, Hadi Sadoghi ; Naghibzadeh, Mahmoud

Expert systems, 2012-11, Vol.29 (5), p.506-525 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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