Multi-Item Fuzzy Inventory Model for Deteriorating Items With Finite Time-Horizon and Time-Dependent Demand
Multi-Item Fuzzy Inventory Problem With Space Constraint Via Geometric Programming Method
Multi-Item Inventory Model With Probabilistic Price Dependent Demand and Imprecise Goal and Constraints
Multi-Objective Geometric Programming Problem and Its Applications
Multi-objective geometric programming problem with Karush−Kuhn−Tucker condition using ϵ-constraint method
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...
On fuzzy input data and the worst scenario method
In practice, input data entering a state problem are almost always uncertain to some extent. Thus it is natural to consider a set of admissible input data instead of a fixed and unique input. The worst scenario method takes into account all states generated by and maximizes a functional criterion reflecting a particular feature of the state solution, as local stress, displacement, or temperature, for instance. An increase in the criterion value indicates a deterioration in the featured quantity....
On the resolution of bipolar max-min equations
This paper investigates bipolar max-min equations which can be viewed as a generalization of fuzzy relational equations with max-min composition. The relation between the consistency of bipolar max-min equations and the classical boolean satisfiability problem is revealed. Consequently, it is shown that the problem of determining whether a system of bipolar max-min equations is consistent or not is NP-complete. Moreover, a consistent system of bipolar max-min equations, as well as its solution set,...
Optimal allocation in multivariate sampling through Chebyshev approximation.
Optimal Control in a Fuzzy Environment
Optimal control of multistage deterministic, stochastic and fuzzy processes in the fuzzy environment via an evolutionary algorithm
Optimization of Fuzzy Rule Sets Using a Bacterial Evolutionary Algorithm.
Penalty method algorithm for fuzzy linear fractional optimization.
Penalty Method for Fuzzy Linear Programming With Trapezoidal Numbers
ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents ReSySTER,...
Robust goal programming
Solution of single and multiobjective stochastic inventory models with fuzzy cost components by intuitionistic fuzzy optimization technique.
Solving a possibilistic linear program through compromise programming.
In this paper we propose a method to solve a linear programming problem involving fuzzy parameters whose possibility distributions are given by fuzzy numbers. To address the above problem we have used a preference relationship of fuzzy numbers that leads us to a solving method that produces the so-called α-degree feasible solutions. It must be pointed out that the final solution of the problem depends critically on this degree of feasibility, which is in conflict with the optimal value of the objective...
Solving multi-objective fuzzy matrix games via multi-objective linear programming approach
A class of multi-objective fuzzy matrix games is studied and it is shown that solving such a game is equivalent to solving a pair of multi-objective linear programming problems. This work generalizes an earlier study of Fernandez et al. [7] from crisp scenario to fuzzy scenario on the lines of Bector et al. [4]. Further certain difficulties with similar studies reported in the literature are also discussed.
Some optimization problems on solubility sets of separable Max-Min equations and inequalities
Stochastic bottleneck transportation problem with flexible supply and demand quantity
We consider the following bottleneck transportation problem with both random and fuzzy factors. There exist supply points with flexible supply quantity and demand points with flexible demand quantity. For each supply-demand point pair, the transportation time is an independent positive random variable according to a normal distribution. Satisfaction degrees about the supply and demand quantity are attached to each supply and each demand point, respectively. They are denoted by membership functions...