scholarly journals EXPERT SYSTEMS TO SOLVE INFORMATIONAL ISSUES IN APPAREL DESIGN

2018 ◽  
Vol 6 (3) ◽  
pp. 237-244
Author(s):  
Oksana Zakharkevich ◽  
Svetlana Kuleshova ◽  
Tetyana Zhylenko ◽  
Iryna Shuda
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Knowledge Base ◽  
Multifractal Analysis ◽  
Rapid Change ◽  
Apparel Design ◽  
Selection Of

This research is devoted to developing of the expert systems for rapid change in production of clothing. The main objective of the study was achieved through the formation of rules of decision-making that intent to solve subtasks of rapid change in production of women's outerwear, including selection of fashion fabric and parameters of the pattern blocks for the specific garments types, and choosing the models of readymade garments. Multifractal analysis was used to evaluate roughness of fabrics. Knowledge base was developed in the shell “Rapana”.

scholarly journals Diagnose Expert System Computer Malfunction Certainty Factor Method

2020 ◽  
Vol 2 (1) ◽  
pp. 63-71
Author(s):  
Djouking Kiray ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Base System ◽  
Certainty Factor ◽  
Factor Method ◽  
Knowledge Base System ◽  
Two Factors ◽  
Computer Based

An expert system is a knowledge base system that solves problems using an expert's knowledge that is entered into a computer, thereby increasing productivity, Because an expert can work faster than a human lay works like an expert. Expert systems Also solve problems by imitating the ways in the which an expert expert offer section with problems in his field, one of the which is in the field of computer repair, the problem of computer damage Becomes a fairly complicated problem, this problem is Generally experienced by individuals and institutions. One of them is in school institutions that have computer laboratories. to diagnose computer use can damage the certainty factor method that helps identify damage to the computer and find the cause of damage to the computer based on the symptoms that occur and the solution to repair it. Certainty Factor is one of the techniques used to deal with uncertainty in decision making. In dealing with a problem, answers are Often found that do not have full certainty. This uncertainty is influenced by two factors items, namely the uncertain rules and user uncertain answers. Uncertain rules are rules of symptoms that are determined for a damage.

scholarly journals EFEKTYVIŲ PROJEKTŲ KŪRIMO DEMONSTRACINĖ SISTEMA/DEMONSTRATION SYSTEM FOR DEVELOPMENT OF EFFICIENT PROJECTS

1996 ◽  
Vol 2 (8) ◽  
pp. 84-100 ◽  
Author(s):  
Gintautas Ambrasas ◽  
Artūras Kaklauskas ◽  
Edmundas K. Zavadskas
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Rational Design ◽  
Multicriteria Analysis ◽  
Life Time ◽  
Time Process ◽  
Construction Site ◽  
Multicriteria Assessment ◽  
Selection Of

The paper describes the Demonstration System suggested by the authors. This Demonstration System enables efficient performance of alternative life-time process planning, multicriteria assessment, utility degree determination and selection of the most efficient versions of various projects and their constituent parts: Determination of rational design solutions for walls, windows, roof structures, basement floor, heating system. Selection of rational constituent parts of a project (selection of construction site and location, multipurpose complex assessment of buildings, determination of rational types of contracts). Selection of efficient interested parties (contractors, suppliers, neighbours). Alternative designing of life-time process of a project (one-family dwelling houses; agricultural, cast-in-place, prefabricated panel, and thermal renovation of buildings), its multicriteria assessment, determination of utility degree and selection of the most efficient version: Determination of efficient investment projects. Preparation of recommendations on efficiency increase of projects. Alternative roof-to-basement designing of a building (one-family dwelling houses; agricultural, cast-in-place, prefabricated panel, and thermal renovation of buildings) and its multicriteria analysis. This Demonstration System enables to perform alternative designing of projects and their constituent parts, multicriteria analysis, determination of utility degree and priority and preparation of recommendations on further improvement of projects. The Demonstration System is composed of two main parts: knowledge and decisionmaking subsystem. The knowledge base contains information (system and subsystems of criteria, values and significance of criteria, etc.) fully characterizing life-time processes of various projects (investments, buildings and so forth) and their constituent parts. For instance, knowledge base of life-time process of constituent parts of a building consists of information on alternative construction sites, buildings, designers, contractors, suppliers and so on. A construction site can be described by the following system of criteria: cost, assessment of existing services (water supply, sewerage, gas, electric power supply), air contamination level, living expenses, shopping possibilities, assessment of possibilities for recreation, sports and medical care, possibility to find a job, development outlooks of the district, transport conveniences, etc. The composed knowledge base is processed in various sections by decision-making subsystem. The multicriteria analysis of received results is performed by decision-making subsystem two. The Demonstration System is used by Bachelors, Engineers and Masters while working on their term and final projects. The paper gives a more detailed analysis of the proposed System. There is presented one of works performed by means of the Demonstration System.

scholarly journals Expert Systems in Geographical Informatics

Geografie ◽  
1992 ◽  
Vol 97 (4) ◽  
pp. 253-260
Author(s):  
Jaromír Kolejka
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Expert System ◽  
Expert Systems ◽  
Data Management ◽  
Knowledge Base ◽  
Data Interpretation ◽  
Natural Phenomena ◽  
Remotely Sensed Data ◽  
Artifical Intelligence

The advanced GIS are equipped both by a database and a knowledge base. The knowledge base contains a system of rules for the purpose oriented data management and processing, which simulate the process of decision-making carried out by an expert. The principles of and experience with expert system creation are described. The expert system applications were tested in the territorial data analysis, the natural phenomena modelling, the remotely sensed data interpretation, the cartographic processes, the artifical intelligence experiments, etc.

A Feature Based Method for Product-Oriented Representation to Manufacturing Resources in Cloud Manufacturing

2014 ◽  
Author(s):  
Xu Liu ◽  
Yingguang Li ◽  
Wei Wang ◽  
Lihui Wang
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Cloud Manufacturing ◽  
Current Status ◽  
Machining Features ◽  
Feature Based ◽  
Manufacturing Resources ◽  
Traditional Representation ◽  
Part Model ◽  
Selection Of

In cloud manufacturing, resources are encapsulated into manufacturing services to be provided in the manufacturing cloud. Resources representation is the basis for resources encapsulation. However, traditional representation methods to manufacturing resources mainly focus on the static description and/or current status of equipment. Research in product-oriented representation to manufacturing capabilities is limited. As a result, the evaluation to resources in the manufacturing cloud is indirect which will complicate the decision making in service determination. This paper presents a feature based method for manufacturing resources representation. Machining features will be first extracted from the part model based on a predefined feature category. Then capabilities of resources linked by the manufacturing cloud to machine the part will be generated by computing the capabilities to machine the features based on a knowledge base composed of the rules to define resource capabilities. With this method, capabilities of manufacturing resources will be associated with certain product and the selection of service from the manufacturing cloud will be greatly facilitated.

scholarly journals Application of artificial intelligence in the process of supporting the ship owner's decision in the management of ship machinery crews, in the aspect of shipping safety

2018 ◽  
Vol 19 (12) ◽  
pp. 121-125
Author(s):  
Zbigniew Łosiewicz ◽  
Dariusz Pielka
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Decision Level ◽  
Ship Owner ◽  
Competence Level ◽  
The Impact ◽  
Modern Tool ◽  
Selection Of

The article discusses the problem of the impact of crew competence level, including ship's engine crews on the amount of operational losses and the occurrence of failures. Errors made at a higher decision level generate serious consequences as a result of incorrect decisions in the operation of the ship, including loss of the ship. A higher level of qualification decreases the probability of improper operation of the ship while increasing the level of safety of navigation, which the ship is a participant. Expert systems are a modern tool that can help and automate decision making at sea, how to assist ship owners in the selection of competent deck and machine crews. In the article, an example of the possibility of using artificial intelligence was presented as an expert system, designed to support the ship-owner in the management of ship machinery crews in the aspect of shipping safety.

Grading Criteria for Judging Potatoes for Chip Quality and Yield

1992 ◽  
Vol 2 (3) ◽  
pp. 408-412
Author(s):  
Kathleen B. Evensen ◽  
Joseph M. Russo ◽  
Harriet Braun
Keyword(s):  
Decision Making ◽  
Solanum Tuberosum ◽  
Expert Systems ◽  
Knowledge Base ◽  
Statistical Evaluation ◽  
Dry Rot ◽  
Chip Quality ◽  
Expert Opinions ◽  
Fusarium Dry Rot ◽  
Decision Making Tool

Grading criteria are proposed for judging potatoes (Solanum tuberosum) for chip quality and yield. The criteria were derived from a decision-making scheme developed from expert opinions, U.S. Dept. of Agriculture grades, and a statistical evaluation of stored potatoes. The criteria are presented as ranges of acceptable values for a limited set of variables found to be important for chip quality and yield. These variables include bruising, cracks, cuts, fusarium dry rot, lesions, and scab. The proposed criteria, besides being a practical decision-making tool for processors, could serve as a knowledge base for potato expert systems and the development of mechanized sorting equipment.

Diabetes Mellitus - Evaluating the Diagnostic Probabilities

2011 ◽  
pp. 169-177
Author(s):  
Adi Armoni
Keyword(s):  
Diabetes Mellitus ◽  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Decision Maker ◽  
Knowledge Bases ◽  
Bayesian Theory ◽  
Logical Conclusion ◽  
Human Decision

The article examines the behavior of the human decision-maker. It surveys research in which about 90 physicians specializing in various fields and with different degrees of seniority participated. It tackles the question of whether it is possible to found the majority of the knowledge bases of the expert systems on the Bayesian theory. We will discuss the way of decision making conforming to the probabilities evaluated according to the Bayesian theory. The logical conclusion, therefore, is that the development of a knowledge base for an expert system founded on probabilities calculated in accordance with the Bayesian theory must be carried out in a controlled manner and depend on the parameters mentioned above.

Selection of Contractor Using Multi-Criteria Decision Making Tools

2011 ◽  
Vol 4 (4) ◽  
pp. 139-142
Author(s):  
S.PUSHPARANI S.PUSHPARANI ◽  
◽  
Dr.S.SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Selection Of
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