AbstractMultiple criteria and multiple constraint-level (MC 2) linear programming has become a major part and a focus issue of Multiple Criteria Decision Making. This paper provides a comprehensive and up-to-date view on MC 2 linear programming, including its concepts, developments of techniques and applications. Given the idea of potential solution, MC 2 -simplex method is motivated by the well-known simplex method of LP and MC 2 interior-point method is inspired by the MC interior-point method. Finally the application status and potential application fields of MC 2 LP are given as well
AbstractBased on decision makers′ goal-seeking and compromise behavior, this paper proposes a constr...
AbstractOptimization based classification methods find classifier of a classification problem by sol...
In classification based on multiple-criteria linear programming (MCLP), we need to find the optimal ...
AbstractThis paper investigates algorithm development and implementation for multicriteria and multi...
This paper investigates algorithm development and implementation for multicriteria and multiconstrai...
AbstractThis paper investigates algorithm development and implementation for multicriteria and multi...
AbstractGiven a problem of multiple-criteria and multiple-constraint level (MC2) linear programming,...
AbstractGiven a problem of multiple-criteria and multiple-constraint level (MC2) linear programming,...
AbstractMultiple criteria and multiple constraint-level linear programming (MC2LP) is a major part o...
AbstractThe realistic modeling of decision problems requires considerable flexibility in the model s...
AbstractThe realistic modeling of decision problems requires considerable flexibility in the model s...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
141 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.The Multiple Criteria Decisio...
AbstractBased on decision makers′ goal-seeking and compromise behavior, this paper proposes a constr...
AbstractBased on decision makers′ goal-seeking and compromise behavior, this paper proposes a constr...
AbstractOptimization based classification methods find classifier of a classification problem by sol...
In classification based on multiple-criteria linear programming (MCLP), we need to find the optimal ...
AbstractThis paper investigates algorithm development and implementation for multicriteria and multi...
This paper investigates algorithm development and implementation for multicriteria and multiconstrai...
AbstractThis paper investigates algorithm development and implementation for multicriteria and multi...
AbstractGiven a problem of multiple-criteria and multiple-constraint level (MC2) linear programming,...
AbstractGiven a problem of multiple-criteria and multiple-constraint level (MC2) linear programming,...
AbstractMultiple criteria and multiple constraint-level linear programming (MC2LP) is a major part o...
AbstractThe realistic modeling of decision problems requires considerable flexibility in the model s...
AbstractThe realistic modeling of decision problems requires considerable flexibility in the model s...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
141 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.The Multiple Criteria Decisio...
AbstractBased on decision makers′ goal-seeking and compromise behavior, this paper proposes a constr...
AbstractBased on decision makers′ goal-seeking and compromise behavior, this paper proposes a constr...
AbstractOptimization based classification methods find classifier of a classification problem by sol...
In classification based on multiple-criteria linear programming (MCLP), we need to find the optimal ...