@inproceedings{scholars115,
             doi = {10.1142/9789812774118{$_0$}{$_0$}{$_4$}{$_6$}},
           title = {Product-mix decision with compromise lp having fuzzy objective function coefficients (CLPFOFC)},
            note = {cited By 2; Conference of Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 ; Conference Date: 29 August 2006 Through 31 August 2006; Conference Code:131623},
       publisher = {World Scientific Publishing Co. Pte Ltd},
            year = {2006},
         journal = {Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006},
           pages = {315--320},
            isbn = {9812566902; 9789812566904},
          author = {Susanto, S. and Asant, P. and Acrarya, A. B. and Karraman, C.},
        keywords = {Artificial intelligence; Decision making; Linear programming; Production control, Decision makers; Fuzzy environments; Fuzzy objective function; Industrial problem; Making decision; Product mix; Product mix decisions; Production Planning, Fuzzy logic},
        abstract = {This paper outlines, first, a compromise linear programming (LP) having fuzzy objective function coefficients (CLPFOFC) and thereafter, a real-world industrial problem for product-mix selection involving 29 constraints and 8 variables is solved using CLPFOFC. This problem occurs in production planning management in which a decision-maker (DM) plays a pivotal role in making decision under a highly fuzzy environment. Authors have tried to find a solution that is flexible as well as robust for the DM to make an eclectic decision under real-time fuzzy environment. {\^A}{\copyright} 2006 by World Scientific Publishing Co. Pte. Ltd.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053205208&doi=10.1142\%2f9789812774118\%5f0046&partnerID=40&md5=29e840db37e477cb006477bc61cffbfa}
}