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Deriving efficacy from basic uncertain information and uncertain Choquet integral
Title Deriving efficacy from basic uncertain information and uncertain Choquet integral Author info LeSheng Jin ... [et al.] Author Jin Le-Sheng (20%)
Co-authors Mesiar Radko (16%)
Yager Ronald R. (16%)
Kalina Martin (16%)
Špirková Jana 1962- (16%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Borkotokey Surajit (16%)
Source document International Journal of General Systems. Vol. 52, no. 1 (2023), pp. 72-85. - Abingdon : Taylor & Francis Group, 2023 Keywords Choquetov integrál intervaly integrály - integrals Language English Country Great Britian URL Link na zdrojový dokument Public work category ADC No. of Archival Copy 53041 Repercussion category VELU, Lakshmana Gomathi Nayagam - RAMALINGAM, Bharanidharan. Total ordering on generalized 'n' gonal linear fuzzy numbers. In International journal of computational intelligence systems. ISSN 1875-6891, 2023, vol. 16, no. 1, pp. 1-19.
JÓZEFIAK, Tomasz - KALUSZKA, Marek - OKOLEWSKI, Andrzej. On an extension of the Choquet integral for multi-valued data. In Fuzzy sets and systems. ISSN 0165-0114, 2024, vol. 474, art. no. 108761, pp. 1-19.
YANG, Yi - CHEN, Zhen-Song - PEDRYCZ, Witold - GOMEZ, Marisol - BUSTINCE, Humberto. Using I-subgroup-based weighted generalized interval t-norms for aggregating basic uncertain information. In Fuzzy sets and systems. ISSN 0165-0114, 2024, vol. 476, art. no. 108771, pp. 1-20. DOI: https://doi.org/10.1016/j.fss.2023.108771
YANG, Yi - JIE, Mengqi - ZHAO, Yuhan - LIU, Limei - YANG, Junfeng - CHEN, Jie. The extended weighted t-norms-based linear hybrid aggregation function and its application for aggregating improved basic uncertain linguistic information. In Engineering applications of artificial intelligence. ISSN 0952-1976, 2024, vol. 136, art. no. 108975, pp. 1-23. DOI: https://doi.org/10.1016/j.engappai.2024.108975
WANG, Yanchen - YUAN, Yangyun - JI, Ying - QU, Shaojian. Robust minimum cost consensus modeling with an application to green supply chain management. In Journal of industrial and management optimization. ISSN 1547-5816, 2025, vol. 21, no. 6, pp. . DOI: https://doi.org/10.3934/jimo.2025053
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