In the previous chapter, we have discussed a variety of computationally efficient approaches for solving crisp multiple objective decision making problems. However, the input data, such …
This paper considers the multi-objective reliability redundancy allocation problem of a series system where the reliability of the system and the corresponding designing cost are …
M Fiedler, J Nedoma, J Ramík, J Rohn, K Zimmermann - 2006 - books.google.com
Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear …
HC Wu - European Journal of operational research, 2007 - Elsevier
The KKT conditions in an optimization problem with interval-valued objective function are derived in this paper. Two solution concepts of this optimization problem are proposed by …
Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this …
Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic …
Y Chalco-Cano, WA Lodwick… - Fuzzy Optimization and …, 2013 - Springer
This paper addresses the optimization problems with interval-valued objective function. For this we consider two types of order relation on the interval space. For each order relation, we …
HC Wu - European Journal of Operational Research, 2009 - Elsevier
The KKT conditions in multiobjective programming problems with interval-valued objective functions are derived in this paper. Many concepts of Pareto optimal solutions are proposed …
We propose a new fuzzy mathematical programming model for production planning under uncertainty in an industrial environment. This model considers fuzzy constraints related to …