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<title>Sixth Local Conference on Parallel and Soft Computing</title>
<link href="https://onlineresource.ucsy.edu.mm/handle/123456789/686" rel="alternate"/>
<subtitle/>
<id>https://onlineresource.ucsy.edu.mm/handle/123456789/686</id>
<updated>2026-07-18T01:51:30Z</updated>
<dc:date>2026-07-18T01:51:30Z</dc:date>
<entry>
<title>Implementation of Decision Support System with Multi-Agent System by using Analytic Hierarchy Process (AHP)</title>
<link href="https://onlineresource.ucsy.edu.mm/handle/123456789/1735" rel="alternate"/>
<author>
<name>Htun, Naing Lynn</name>
</author>
<author>
<name>Ko, Lynn Min</name>
</author>
<id>https://onlineresource.ucsy.edu.mm/handle/123456789/1735</id>
<updated>2019-12-02T05:14:28Z</updated>
<published>2011-12-29T00:00:00Z</published>
<summary type="text">Implementation of Decision Support System with Multi-Agent System by using Analytic Hierarchy Process (AHP)
Htun, Naing Lynn; Ko, Lynn Min
An innovative, cost-effective service, Advanced Medical Reviews is setting the standard for providing high quality, prompt concurrent medical necessily, retrospective and readmission reviews with emphasis on getting the appropriate admission status. We propose a Decision Support System (DSS) for member based on member’s preferences by using AHP (Analytical Hierarchy Process) displaying total score based on Multi-Agent System. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance. The system cooperate the top hospital nearly the same of user preferences and focus on decidion making for member based on Multi-agent (Initioator, Coordinator, Negotiation, Search) system. This System is implemented as Java Web Application and developed in Tomcat and Internet Exploer is used as a browser.
</summary>
<dc:date>2011-12-29T00:00:00Z</dc:date>
</entry>
<entry>
<title>Implementation of Clothing Service Process by using CRP for Tailoring Management System</title>
<link href="https://onlineresource.ucsy.edu.mm/handle/123456789/1734" rel="alternate"/>
<author>
<name>Aung, Hay Mar Nyein Chan</name>
</author>
<author>
<name>Mar, Win</name>
</author>
<id>https://onlineresource.ucsy.edu.mm/handle/123456789/1734</id>
<updated>2019-12-02T05:14:28Z</updated>
<published>2011-12-29T00:00:00Z</published>
<summary type="text">Implementation of Clothing Service Process by using CRP for Tailoring Management System
Aung, Hay Mar Nyein Chan; Mar, Win
Today, people living at different periods have different aesthetical view on cloths and pursue different purpose for clothes. Customers desire to personalize the style, fit and color of the clothes; they buy, and require high-quality customized products at low prices with faster deliver. Tailoring management uses information technology, flexible processes, and organizational structures to deliver a wide range of products and services that meet specific needs of individual customers. This system examies customers focused clothing service process based on demand chain strategies, monitors management of apparel industry, and investigates how virtual value chain strategies can be undertalen through clothing service process. Capacity planning is a computerized technique for projecting resources requirement in critical work station. This system will calculate material requirements of a garment manufacture’s work flow over order-base into full-fill the task of decision making process. This system will implement C# programming language on .Net platform with Microsoft SQL 2005 database.
</summary>
<dc:date>2011-12-29T00:00:00Z</dc:date>
</entry>
<entry>
<title>Decision Support System for Crops Diseases by Using Bayesian Classification</title>
<link href="https://onlineresource.ucsy.edu.mm/handle/123456789/1733" rel="alternate"/>
<author>
<name>Khaing, Myat Mon</name>
</author>
<author>
<name>Win, Aye Mon</name>
</author>
<id>https://onlineresource.ucsy.edu.mm/handle/123456789/1733</id>
<updated>2019-12-02T05:14:28Z</updated>
<published>2011-12-29T00:00:00Z</published>
<summary type="text">Decision Support System for Crops Diseases by Using Bayesian Classification
Khaing, Myat Mon; Win, Aye Mon
Classification of measurements is esential in a diagnosis process in many application domains. Correct classification may be the most critical part of the diagnosis system. This system proposes a decision support system for crop diseases classification using Bayesian Analysis to help the users with most possible result. The main features of the proposed system is to provide a sample and integrated tool for designing diagonstic application. This system based on crops symptoms caused by various fungi, bacteria, virus and insects. Therefore, a careful review of the symptoms presented greatly help with the diagnosis occurs.
</summary>
<dc:date>2011-12-29T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Job Selection System Based on Analytical Hierarchy Process (AHP)</title>
<link href="https://onlineresource.ucsy.edu.mm/handle/123456789/1388" rel="alternate"/>
<author>
<name>Ko, Thin Zar Ko</name>
</author>
<author>
<name>Zaw, Win Win</name>
</author>
<id>https://onlineresource.ucsy.edu.mm/handle/123456789/1388</id>
<updated>2019-12-02T05:14:25Z</updated>
<published>2011-12-29T00:00:00Z</published>
<summary type="text">A Job Selection System Based on Analytical Hierarchy Process (AHP)
Ko, Thin Zar Ko; Zaw, Win Win
Decision-making is the process of identifying and selecting from among possible solutions to a problem according to the demands of the situation. When considerable matters are ambiguous, people are difficult to decide. Thus, scientific methods were emerged to solve these problems. There are many ways to work on scientific methods sucha s ant colonies, simulated annealing, Genetic Algorithm (GA) and Analytic Process (AHP) is a scientific method which was developed by Thomas Saaty. AHP provides a proven, effective means to deal with comlex decision making and can assist with identifying and weighting selection criteria and analyzing the data collected for the criteria and analyzing the data collected for the criteria. In this study, it is applied the AHP method as a solution for a job selection system. The system uses a simpler weighting approach to calculate pair-wise comparisons, priority vector. Finally, system proceeds to calculate the global values and makes the overall ranking on these global values to suggest the best job under the user’s consideration.
</summary>
<dc:date>2011-12-29T00:00:00Z</dc:date>
</entry>
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