Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Antika Thapar"'
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 31:303-326
This paper discusses a nonlinear optimization problem with the system of max-Archimedean bipolar fuzzy relation equations as constraints. Some results related to the structure of the solution set of max-Archimedean bipolar fuzzy relation equations ar
Autor:
Antika Thapar, Vijay Lakshmi Tiwari
Publikováno v:
Fuzzy Sets and Systems. 440:62-76
This paper discusses a new method for finding the complete set of tolerable solutions of max-Archimedean interval-valued fuzzy relation equations. According to the literature, three types of solution sets, namely; tolerable solution set, united solut
Autor:
Vijay Lakshmi Tiwari, Antika Thapar
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 28:613-634
This paper discusses the resolution of max-Archimedean bipolar fuzzy relation equations. In the literature, many methods have been proposed based on 0-1 integer programming problem or reduction methods for the optimization with bipolar fuzzy relation
Autor:
Mehar Goyal, Antika Thapar
Publikováno v:
2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).
The aim of this study is to design a fuzzy expert system which diagnoses whether an infant is suffering from malnutrition or not, and if he/she is in the trap of malnutrition, then what is the extent or severity of the same. For this purpose, we have
Publikováno v:
Applied Soft Computing. 12:2178-2187
In the present paper, a genetic algorithm for multi-objective optimization problems with max-product fuzzy relation equations as constraints is presented. Since the non-empty feasible domain of such problems is, in general, a non-convex set; the trad
Publikováno v:
Applied Soft Computing. 9:1097-1101
An optimization model with a linear objective function subject to max-t fuzzy relation equations as constraints is presented, where t is an Archimedean t-norm. Since the non-empty solution set of the fuzzy relation equations is in general a non-conve
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9788132221401
This study presents a multiple objective optimization problem with the solution space designed by a system of fuzzy relational equations based on max-product algebraic composition. The solution set of the fuzzy relation equation is generally characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b83de2c8f93f4b3135fd65a7cc8fe53e
https://doi.org/10.1007/978-81-322-2141-8_4
https://doi.org/10.1007/978-81-322-2141-8_4
Publikováno v:
Recent Advancements in System Modelling Applications ISBN: 9788132210344
This work considers a multiobjective optimization problem with max-product fuzzy relational constraints. The utility function based approach is proposed that translates the multidimensional criterion space to single dimensional one. Further, a hybrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45620b1f8d45ac9bab6ef1a16bed89f5
https://doi.org/10.1007/978-81-322-1035-1_9
https://doi.org/10.1007/978-81-322-1035-1_9
Publikováno v:
Procedia Engineering. :3462-3476
A posynomial geometric optimization problem subjected to a system of max-min fuzzy relational equations (FRE) constraints is considered. The complete solution set of FRE is characterized by unique maximal solution and finite number of minimal solutio