none2The comparison of intervals, following several order relations, is relevant in interval linear programming methods to solve many real-life problems. The determination of coefcients as crisp values is practically impossible in reality, where data sources are often uncertain, vague and incomplete. The uncertainty can be modelled with coefcients that vary in intervals, making possible a decision making process that is common in the areas of soft sciences like social science, economics, nance and management studies. To help comparison of intervals according to different relevant order relations, a general comparison index is proposed and some properties are illustrated.noneM.L.Guerra; L.StefaniniM.L.Guerra; L.Stefanin
The objective of this paper is to study the existing definitions of in-terval order relations for co...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
Interval linear programming (ILP) has a long history but it still reserves many interesting suggesti...
Interval linear programming (ILP) has a long history but it still reserves many interesting suggesti...
none2noInterval methods is one option for managing uncertainty in optimization problems and in decis...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
The objective of this paper is to study the existing definitions of in-terval order relations for co...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
The comparison of intervals, following several order relations, is relevant in interval linear progr...
Interval linear programming (ILP) has a long history but it still reserves many interesting suggesti...
Interval linear programming (ILP) has a long history but it still reserves many interesting suggesti...
none2noInterval methods is one option for managing uncertainty in optimization problems and in decis...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
The objective of this paper is to study the existing definitions of in-terval order relations for co...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...
Interval methods is one option for managing uncertainty in optimization problems and in decision man...