Autors: Peeva, K. G., Zahariev, Z. V., Atanasov I. I.
Title: Software for optimization of linear objective function with fuzzy relational constraint
Keywords: fuzzy linear systems of equations, fuzzy linear systems of i

Abstract: The paper presents method, algorithm and software in MATLAB and Java for solving various optimization problems when the linear objective function is subject to fuzzy linear system of equations or fuzzy linear systems of inequalities as constraint.

References

    Issue

    2008 4th International IEEE Conference Intelligent Systems, pp. 18-14 - 18-19, 2008, Bulgaria, IEEE, DOI 10.1109/IS.2008.4670459

    Цитирания (Citation/s):
    1. Aliannezhadi, S., Abbasi Molai, A. (2021). 'A new algorithm for solving linear programming problems with bipolar fuzzy relation equation constraints', Iranian Journal of Numerical Analysis and Optimization, 11(2), pp. 407-435. doi: 10.22067/ijnao.2021.67046.0 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Abbasi Molai, A. Linear optimization with mixed fuzzy relation inequality constraints using the pseudo-t-norms and its application. Soft Comput 19, 3009–3027 (2015). https://doi.org/10.1007/s00500-014-1464-9 - 2014 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science