The research and comparison of multi-objective portfolio based on intuitionistic fuzzy optimization
• Propose “maximum-minimum” operator to solve the IFO problem. • Apply the CP and NCP model to solve the IFO problem. • Consider p-norm, geometric mean, extreme deviation three objective functions. • A new operation method is proposed for solving the optimization problem. • Use several portfolio per...
Ausführliche Beschreibung
Autor*in: |
Deng, Xue [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
Intuitionistic fuzzy optimization |
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Umfang: |
11 |
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Übergeordnetes Werk: |
Enthalten in: Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling - Zhang, Chuang ELSEVIER, 2018, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:124 ; year:2018 ; pages:411-421 ; extent:11 |
Links: |
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DOI / URN: |
10.1016/j.cie.2018.07.044 |
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ELV043826717 |
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10.1016/j.cie.2018.07.044 doi GBV00000000000337.pica (DE-627)ELV043826717 (ELSEVIER)S0360-8352(18)30367-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Deng, Xue verfasserin aut The research and comparison of multi-objective portfolio based on intuitionistic fuzzy optimization 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Propose “maximum-minimum” operator to solve the IFO problem. • Apply the CP and NCP model to solve the IFO problem. • Consider p-norm, geometric mean, extreme deviation three objective functions. • A new operation method is proposed for solving the optimization problem. • Use several portfolio performance evaluation techniques to evaluate models. Intuitionistic fuzzy optimization Elsevier “max–min” operator Elsevier Mean-variance-skewness-entropy Elsevier Multi-objective Elsevier Nadir compromise programming Elsevier Pan, Xueqin oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:124 year:2018 pages:411-421 extent:11 https://doi.org/10.1016/j.cie.2018.07.044 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 124 2018 411-421 11 |
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• Propose “maximum-minimum” operator to solve the IFO problem. • Apply the CP and NCP model to solve the IFO problem. • Consider p-norm, geometric mean, extreme deviation three objective functions. • A new operation method is proposed for solving the optimization problem. • Use several portfolio performance evaluation techniques to evaluate models. |
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• Propose “maximum-minimum” operator to solve the IFO problem. • Apply the CP and NCP model to solve the IFO problem. • Consider p-norm, geometric mean, extreme deviation three objective functions. • A new operation method is proposed for solving the optimization problem. • Use several portfolio performance evaluation techniques to evaluate models. |
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• Propose “maximum-minimum” operator to solve the IFO problem. • Apply the CP and NCP model to solve the IFO problem. • Consider p-norm, geometric mean, extreme deviation three objective functions. • A new operation method is proposed for solving the optimization problem. • Use several portfolio performance evaluation techniques to evaluate models. |
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The research and comparison of multi-objective portfolio based on intuitionistic fuzzy optimization |
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