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Register a new userنظام دعم قرار جماعي بأسلوب المحاججة نواة نظام دعم قرار جماعي باستخدام نموذج محاججة موحد
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ظهرت المحاججة كمقاربة مهمة في الذكاء الصنعي لحل مسائل دعم القرار بسبب قدرتها على إعطاء مبررات للقرار المتخذ من خلال تقديم الحجج الداعمة و الحجج الداحضة التي ستقنع كلاً من متخذي القرار و المعنيين به، إضافة إلى قدرة المحاججة على حل مسائل دعم القرار في حالات المعلومات غير الكاملة، و لأنها تمثل الطريقة الأكثر قرباً لتلك التي يتداول فيها الأشخاص واقعياً لاتخاذ قراراتهم. تسمح المحاججة أيضاً بمعالجة مسألة دعم القرار بوجود معلومات متناقضة، و لهذه الميزة أهمية خاصة في حالة القرار الجماعي، لأن كل مشارك في اتخاذ قرار يستند إلى جملة معارف و اعتبارات قد تكون مختلفة ( و أحياناً متناقضة ) عن تلك التي تكون لدى مشاركٍ آخر.
No English abstract
References used
Amgoud, 2009]. Amgoud, L. (2009). Argumentation for decision making. In Argumentation in Artificial Intelligence (pp. 301-320). Springer
[Amgoud et al., 2009]. Amgoud, L., & Prade, H. (2009). Using arguments for making and explaining decisions. Artificial Intelligence, 173(3), 413-436
[Arrow, 1963]. Arrow, K. J. (1963). Social Choice and Individual Values (Vol. 124). Yale University Press
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The Research Aims:
Syrian organizations keep large amounts of information and data about their
personnel in their IT systems. This information, however, is often left unutilized or
may be analyzed through statistical methods. In this study, DM is
considered a
solution for analyzing HR data and explore knowledge from data stored in some
Syrian organization through two major stages:
Stage A: Using results of Semi-Annual performance evaluation process to build
prototype showed in (Fig. 6) to accomplish two tasks:
1. Building a models to predict appropriate job function for an employee
through majority principle and using high accuracy result to increase the
number of training data and make it self-learning model.
2. Choose most important attributes that used in classify methods to use it in
personnel selection and recruitment.
Stage B: Using data of Time & Attendance to analysis personnel activity through
clustering methods and building many meaningful groups.
this study aimes to demonstrate the impact of accounting information
(through its sub-variables such as the availability, quality and
characteristics of accounting information) in supporting business
combination decisions in Syrian holding companies.
The university is undoubtedly one of the basic components of modern state, but of the most important priorities, as they play an active role in the transfer of state-of-the stage of underdevelopment and dependency to the growth and development phase.
Education has become a strategic resource of modern societies because it extends the community with all requirements of the specialized scientific personnel helping to increase the benefit and enhance the economic, social and cultural growth.
The decision-making process is the most important topics of
operations research, which offers methods and tools to assist
decision makers in reaching resolution.
Research overture applied and analytic study for decision making
state in production
workshops whose belong estimation of optimal production size and overture mathematical model for production plan by dependence on Input – Output table for constraint production size in every workshop and coordination between internal demand, market, and production plan for solve recession problem and estimation of plan profits.
Research eventuates to results overture Input – Output table model practicable in any production unit.
The use of traditional methods to analyze massive amounts of
data sets is not conducive to the discovery of new knowledge
patterns supports the decision-making process So the purpose
of this article is designed visual analysis system that supports
analysis of data sets through the use of automated analysis,
which includes many of the techniques such as assembly
process (clustering) and Altnsnev (classification) and the
correlation base (association Rule) And the process of visual
data exploration techniques Manifesting, and then the
comparison with other data sets manifestation techniques and
evaluation of the proposed Manifesting system.
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