Accordingly, an attempt is made to solve intuitionistic fuzzy linear programming problems using a technique based on an earlier technique proposed by Zimmermann to solve fuzzy linear programming ...

With the field maturing, the fundamental principles of linear logic are receding into the background as an area of active inquiry as computer scientists learn to apply the established principles to ...

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

Girard's linear logic has formed the basis of a number of logic programming languages. These languages are successful in enhancing the expressiveness of (pure) Prolog and have been shown to provide ...

For linear problems with clear, straightforward relationships, linear programming is efficient. If the problem involves integer variables, like scheduling or routing, integer programming is suitable.

J.-Y. Girard. Linear logic. Theoretical Computer Science, 50:1-102, 1987. Jean-Marc Andreoli. Logic programming with focusing proofs in linear logic. Journal of Logic and Computation, 2(3):197-347, ...

If SCIP is installed, run python circuit_optimization.py to check that all is in order. To use the mip solver, please, refer to the relevant documentation. The function make_circuit_lp creates a .lp ...

Here, we solve a linear programming problem (LPP) in an intuitionistic fuzzy environment and compare the result with the solution obtained from other existing techniques. In the process, ...

Problems from Assignment 5 are also still eligible. Due on Wed Apr 18. (Mon 4/2) Notes for Lecture 16 on Ordered Forward Chaining have been posted. ... Linear logic programming Linear type theory and ...