Search Results - subject:"Fuzzy rough"

Energy supplier selection by TOPSIS method based on multi-attribute decision-making by using novel idea of complex fuzzy rough information

Hussain, Amir; Ullah, Kifayat; Senapati, Tapan; Moslem, … - In: Energy strategy reviews 54 (2024), pp. 1-12

this article is to develop a technique for selecting energy suppliers based on multiple attributes. Complex fuzzy rough … the CFRS. So, complex fuzzy rough weighted averaging (CFRWA) and complex fuzzy rough weighted geometric (CFRWG) operators … are developed to deal with the information in the form of complex fuzzy rough values (CFRVs). Some basic properties of …

Persistent link: https://www.econbiz.de/10014635250

Forecasting forex trend indicators with fuzzy rough sets

Garza Sepúlveda, J. C.; Lopez-Irarragorri, F.; … - In: Computational economics 62 (2023) 1, pp. 229-287

Persistent link: https://www.econbiz.de/10014327495

Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers

Li, Wei; Yüksel, Serhat; Dinçer, Hasan - In: Financial innovation : FIN 8 (2022), pp. 1-30

for order preference by similarity to ideal solutions based on picture fuzzy rough sets. In this process, Theory of the …

Persistent link: https://www.econbiz.de/10013272629

A fuzzy rough network data envelopment analysis approach for evaluating the sustainability of supply chains : a case study in the pasta industry

Sadeghi, Amir Hossein; Saen, Reza Farzipoor; Eshlaghy, … - In: Journal of decision systems 33 (2024) 4, pp. 787-807

Persistent link: https://www.econbiz.de/10015178122

Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment

Hu, Kuang-Hua; Hsu, Ming-Fu; Chen, Fu-Hsiang; Liu, Mu-Ziyun - In: Financial Innovation 7 (2021) 1, pp. 1-27

/dimensions; thus, the fuzzy rough set theory (FRST), with its superior data exploration ability and impreciseness tolerance, can be …

Persistent link: https://www.econbiz.de/10012602892

Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment

Hu, Kuang-Hua; Hsu, Ming-Fu; Chen, Fu-Hsiang; Liu, Mu-Ziyun - In: Financial innovation : FIN 7 (2021), pp. 1-27

/dimensions; thus, the fuzzy rough set theory (FRST), with its superior data exploration ability and impreciseness tolerance, can be …

Persistent link: https://www.econbiz.de/10012429261

Evaluation and ranking of insurance companies by combining topsis and the interval fuzzy rough sets

Mimović, Predrag; Tadić, Danijela; Borota-Tišma, Ankica - In: Serbian journal of management : an international … 16 (2021) 2, pp. 279 - 299

Persistent link: https://www.econbiz.de/10013483316

Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection

Shreevastava, Shivam; Tiwari, Anoop Kumar; Som, Tanmoy - In: International Journal of Fuzzy System Applications (IJFSA) 7 (2018) 2, pp. 75-84

set it requires discretization, which may cause information loss. Fuzzy rough set theory approaches have also been used …

Persistent link: https://www.econbiz.de/10012044852

Customer Choice of Super Markets using Fuzzy Rough Set on Two Universal Sets and Radial Basis Function Neural Network

Acharjya, Debi Prasanna; Anitha, A. - In: International Journal of Intelligent Information … 12 (2016) 3, pp. 20-37

customer choice of super markets using fuzzy rough set on two universal sets and radial basis function neural network. The … authors use fuzzy rough set on two universal sets on sample data to arrive at customer choice of super markets. The …

Persistent link: https://www.econbiz.de/10012045491

Banking credit worthiness : evaluating the complex relationships

Bai, Chunguang; Shi, Baofeng; Liu, Feng; Sarkis, Joseph - In: Omega : the international journal of management science 83 (2018), pp. 26-38

Persistent link: https://www.econbiz.de/10011989105