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309 articles for “Decision Model”

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Research ArticleOpen accessIn the abstractLeveraging Appreciative Intelligence for Positive Enactment in Times of Uncertainty: A Case Study of a Small Investment FirmSusan Schick Case, Tojo ThatchenkeryProblem statement: How do we develop a complex understanding of markets and environments? Are markets and environments concrete entities that exist “out there” or are they socially constructed by human imagination and intentional language use? Approach: Using a case study approach, the interactions in a small investment firm were analyzed to bring to surface the complex relationship among markets, enactment … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,555 accessesView PDFCite
Research ArticleOpen accessIn the abstractAsymmetry Effect of Inflation on Inflation Uncertainty in Iran: Using from EGARCH Model, 1959-2009Dahmardeh Nazar, Pourshahabi Farshid, Khani Zade Amiri MojtabaProblem statement: In this study, we tried to examine the relationship between inflation and inflation uncertainty in Iran, because of considerable variation in its inflation rate. Approach: Inflation uncertainty is the major cost of high inflation that can influence the decision making of economic agents. Results: This study constructed a time series of seasonally inflation uncertainty in Iran from 1959-2009 … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,679 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Back Propagation Neural Networks for Grading Jatropha curcas Fruits MaturityZ. Effendi, R. Ramli, J. A. GhaniProblem statement: Jatropha curcas has the potential to become one of the world’s key energy crops. Crude vegetable oil, extracted from the seeds of the Jatropha plant, can be refined into high quality biodiesel. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractSwarm Negative Selection Algorithm for Electroencephalogram Signals ClassificationNasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita SudirmanProblem statement: The process of epilepsy diagnosis from EEG signals by a human scorer is a very time consuming and costly task considering the large number of epileptic patients admitted to the hospitals and the large amount of data needs to be scored. Therefore, there is a strong need to automate this process. Such automated systems must rely on robust … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Utility Accrual Scheduling Algorithms for Adaptive Real Time SystemIdawaty Ahmad, Muhammad Fauzan OthmanProblem statement: This study proposed two utility accrual real time scheduling algorithms named as Preemptive Utility Accrual Scheduling (PUAS) and Non-preemptive Utility Accrual Scheduling (NUAS) algorithms. These algorithms addressed the unnecessary abortion problem that was identified in the existing algorithm known as General Utility Scheduling (GUS). It is observed that GUS is inefficient for independent task model because it simply … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,352 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Swarm Based Text SummarizationMohammed Salem Binwahlan, Naomie Salim, Ladda SuanmaliProblem statement: The aim of automatic text summarization systems is to select the most relevant information from an abundance of text sources. A daily rapid growth of data on the internet makes the achieve events of such aim a big challenge. Approach: In this study, we incorporated fuzzy logic with swarm intelligence; so that risks, uncertainty, ambiguity and imprecise values … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractHepatitis B Diagnosis Using Logical Inference and Self-Organizing MapGhumbre Shashikant Uttreshwar, A.A. GhatolDespite all the standardization efforts made, medical diagnosis is still regarded as an art owing to the fact that that medical diagnosis requires an expertise in handling the uncertainty which is unavailable in today's computing machinery. Though artificial intelligence is not a new concept it has been widely recognized as a new technology in computer science. Numerous areas such as … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Mathematical Programming Approach to DEA ModelsA. Azadeh, S.F. Ghaderi, Z. Javaheri, M. SaberiEvaluating the performance of activities or organizations by traditional Data Envelopment Analysis (DEA) as efficiency frontier analysis models requires crisp input/output data. However, in real-world problems inputs and outputs are often imprecise. This study develops DEA models using imprecise data represented by fuzzy sets. An important outcome of assessing relative efficiencies within a group of Decision Making Units (DMUs) in … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology-based Knowledge Networks for users' training: The Enterprise Resource Planning (ERP) caseMacris AristomenisThis paper presents a prototype model for the design and development of training material, where both the multimedia objects used in training scenarios and the knowledge built into them are captured and fully reusable. Knowledge found in the logic, the structure and the ways of use of domain specific literacy is represented as a knowledge network (a collection of educational … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,659 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Simple Approach for Building Cooling Load EstimationF. A. Ansari, A. S. Mokhtar, K. A. Abbas, N. M. AdamThe present work is to demonstrate how some very simple problems are made mathematically complex and seemingly tedious due to academic or business compulsions. There are some problems in which mathematical model are developed after making many simplifying assumptions. But, when it comes to solving these models, very sophisticated and complex schemes are applied. For such problems, dual policy does … …American Journal of Environmental Sciences, Vol. 1, Issue 3 · 30 Sep 2005 · 7,534 accessesView PDFCite