Managing Uncertainty in the Construction Industry Through the Rough Set Theory
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Maximizing and minimizing fuzzy sets.
Garrido, Angel (2007)
Acta Universitatis Apulensis. Mathematics - Informatics
Measuring and Evaluating Efficiency and Effectiveness Using Goal Programming and Data Envelopment Analysis in a Fuzzy Environment
Nimish Sheth, Konstantinos Triantis (2003)
The Yugoslav Journal of Operations Research
Modal Split Modelling Using Multicriteria Analysis and Discrete Fuzzy Sets
Jadranka J. Jović, Maja M. Popović (2001)
The Yugoslav Journal of Operations Research
Multi-Item Fuzzy Inventory Model for Deteriorating Items With Finite Time-Horizon and Time-Dependent Demand
S. Kar, T. K. Roy, M. Maiti (2006)
The Yugoslav Journal of Operations Research
Multi-Item Fuzzy Inventory Problem With Space Constraint Via Geometric Programming Method
Nirmal Kumar Mandal, Tapan Kumar Roy, Manoranjan Maiti (2006)
The Yugoslav Journal of Operations Research
Multi-Item Inventory Model With Probabilistic Price Dependent Demand and Imprecise Goal and Constraints
S. Kar, T. Roy, M. Maiti (2001)
The Yugoslav Journal of Operations Research
Multi-Objective Geometric Programming Problem and Its Applications
Sahidul Islam (2010)
The Yugoslav Journal of Operations Research
Multi-objective geometric programming problem with Karush−Kuhn−Tucker condition using ϵ-constraint method
A. K. Ojha, Rashmi Ranjan Ota (2014)
RAIRO - Operations Research - Recherche Opérationnelle
Optimization is an important tool widely used in formulation of the mathematical model and design of various decision making problems related to the science and engineering. Generally, the real world problems are occurring in the form of multi-criteria and multi-choice with certain constraints. There is no such single optimal solution exist which could optimize all the objective functions simultaneously. In this paper, ϵ-constraint method along with Karush−Kuhn−Tucker (KKT) condition has been used...
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