New Approach for Solving Multi – Objective Problems

علاء الدين نوري احمد; نذير عباس ابراهيم

doi:10.33095/jeas.v18i67.1042

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Publication Date

Sat Sep 01 2012

Journal Name

Journal Of Economics And Administrative Sciences

Volume

18

Issue Number

67

DOI

10.33095/jeas.v18i67.1042

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New Approach for Solving Multi – Objective Problems

متعدد الأهداف

الحل الأمثل

اتخاذ القرار

الحل الفعال

التركيبة الخطية

Multi – objective

optimal solution

decision making

efficient solution

linear combination

علاء الدين نوري احمد

نذير عباس ابراهيم

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There are many researches deals with constructing an efficient solutions for real problem having Multi - objective confronted with each others. In this paper we construct a decision for Multi – objectives based on building a mathematical model formulating a unique objective function by combining the confronted objectives functions. Also we are presented some theories concerning this problem. Areal application problem has been presented to show the efficiency of the performance of our model and the method. Finally we obtained some results by randomly generating some problems.

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Sentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic researches to address sentiment analysis problems. Deep Learning (DL) is a powerful Machine Learning (ML) technique that has emerged with its ability of feature representation and differentiating data, leading to state-of-the-art prediction results. In recent years, DL has been widely used in sentiment analysis, however, there is scarce in its implementation in the Arabic language field. Most of the previous researches address other l

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