%0 Journal Article %1 teotinogsoares1marcelofxcham22023hybrid %A Teotino G. Soares1, Marcelo F. X. Cham2, Abdullah Z. Abidin3 %A Wahyuningrum4, Tenia %D 2023 %J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) %K learning machine %N 1/2 %P 13 %R 10.5121/ijscai.2023.12201 %T A HYBRID METHODS DSS FOR THE BEST PERFORMING LECTURERS SELECTION %U https://aircconline.com/ijscai/V12N2/12223ijscai01.pdf %V 12 %X International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Soft Computing, Artificial Intelligence and Applications.

@article{teotinogsoares1marcelofxcham22023hybrid, abstract = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Soft Computing, Artificial Intelligence and Applications.}, added-at = {2023-12-27T10:31:05.000+0100}, author = {{Teotino G. Soares1, Marcelo F. X. Cham2}, Abdullah Z. Abidin3 and Wahyuningrum4, Tenia}, biburl = {https://www.bibsonomy.org/bibtex/2c01749425ed25b7d14ed39c8c6bdfa60/leninsha}, doi = {10.5121/ijscai.2023.12201}, interhash = {2ef39b6298a5e26acd0ee82faf517ab1}, intrahash = {c01749425ed25b7d14ed39c8c6bdfa60}, journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)}, keywords = {learning machine}, month = may, number = {1/2}, pages = 13, timestamp = {2023-12-27T10:31:05.000+0100}, title = {A HYBRID METHODS DSS FOR THE BEST PERFORMING LECTURERS SELECTION }, url = {https://aircconline.com/ijscai/V12N2/12223ijscai01.pdf}, volume = 12, year = 2023 }