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The purpose of this article is to explain how a fuzzy linear programming model can be transformed into a fuzzy multi-objective linear programming model and then solved. An algorithm is developed to present our approach and fuzzy optimal solution is obtained. To demonstrate the efficiency and feasibility of the proposed approach, one numerical example has been solved.
The aims of the article is to the study fuzzy multi-objective linear fractional programming (FMOLFP) problem by using goal programming approach. At first by using Charnes and Cooper [1] transformation, the FMOLFP problem is transformed to fuzzy multi-objective linear programming (FMOLP) problem. The reduced problem is formulated by goal programming approach to find out the solution of FMOLFP problem...
This article proposes to handle multi objective linear fractional programming (MOLFP) problems in fuzzy environment. As a generalized mean value theorem first order Taylor series approach is used to convert multi objective linear fractional programming to multi objective linear programming problem by introducing imprecise aspiration level to each objective. Then additive weighted method has been used...
The concept of ranking method is an efficient approach to rank fuzzy numbers. In this paper, we have studied stochastic fuzzy multiobjective linear fractional programming problem (SFMOLFPP) where SFMOLFPP is transformed to its equivalent deterministic-crisp multiobjective linear programming problem (MOLPP). To study SFMOLFPP, a SFMOLFPP is presented in which the fuzzy coefficients and scalars in the...
In this paper we investigate THANOS and THANVaS memory devices featuring a 2 nm HfO2 capping layer on top of the AI2O3 blocking dielectric. Furthermore, we benchmark these devices against reference TANOS and TANOS with variable tunnel oxide thickness (TANVaS), respectively. It is found that HfO2 capping layer improves erase saturation level due to its better electron blocking capabilities during erase...
Annotations are a means to attach additional meta data to the source code of a system. Nowadays, more and more technologies rely on the presence of such annotations in the source code: beyond their use for documentation purposes, annotations impact the behaviour of the system. Since there exists little or no support to make sure that upon evolution of the system, the source code remains correctly...
A characterization technique capable of measuring the electrical charge injected during programming operations in silicon nitride based charge trapping memories has been developed. The trapping efficiency, defined as the fraction of carriers which gets trapped in the device with respect to the total injected charge, is extracted and is evaluated along the programming transient for a wide set of devices,...
In this paper, we investigate the effect of the reset-pulse parameters of a phase-change memory line cell on the electrical cell properties. By means of electrothermal finite-element simulations and measurements, the characteristics of the reset state (resistance after switching, threshold voltage, and stability of the state) are related to the physical parameters during reset switching (the temporal...
This paper provides an experience report on the use of aspect-oriented technology as a means to modularize the implementation of business rules in an object-oriented, large scale case study. The goal of this refactoring of the system was to provide a proof-of-concept implementation of how such an aspect-oriented solution can improve the modularity and the extensibility of the business rule implementation...
The resistive-switching phase-change memory (PCM) is gaining increasing interest as a potential flash replacement, mainly due to scalability, faster writing and better endurance. PCM cells are typically programmed to the high- resistive amorphous state using a high current pulse (reset programming), and to the low-resistive crystalline state using a longer pulse of lower amplitude (set programming)...
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