scholarly journals BUILDING EXPERT SYSTEM OF SUPPORT OF DECISION-MAKING AS INTELLECTUAL COMPONENT OF THE MONITORING SYSTEM OF TECHNOLOGICAL PROCESS

2016 ◽  
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Monitoring System ◽  
Technological Process

Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

The Design of Remote Monitoring System and Diagnosing System in Natural Gas Compressor

2014 ◽  
Vol 530-531 ◽  
pp. 301-305
Author(s):  
Huan Huan Nie ◽  
Zhen Lu Wu ◽  
Guo Yan Yu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Natural Gas ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Frame Structure ◽  
Inference Rules ◽  
Remote Monitoring System ◽  
Fault Inference ◽  
A Company

The frame structure of monitoring system is introduced and the network structure of monitoring system is analyzed in this paper. Fault diagnosis expert system is put forward and the fault inference rules are elaborated according to the fault of natural gas compressor of a company. The significance of the system is summarized in the end.

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

Research on BIT Intelligence Maintenance Decision of Weapon Materiel

2011 ◽  
Vol 128-129 ◽  
pp. 224-228
Author(s):  
Jian Xin Huang ◽  
Ya Qin Bian
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Fault Diagnosis ◽  
Expert System ◽  
System Organization ◽  
System Structure ◽  
Concurrent Design ◽  
Intelligence Theory ◽  
Maintenance Decision ◽  
Organization Framework

Considering the weapon materiel maintenance condition, intelligence theory and method such as expert system and neural network is introduced in BIT technology. BIT intelligence maintenance decision in materiel maintenance field is discussed. The realization of materiel intelligence BIT reflects the concurrent design concept of system exploitation. Level integrated intelligence BIT system organization framework is adopted. BIT comprehensive decision-making and maintenance expert system structure is designed, and its implementation plan based on BIT is offered, which can enhance the fault diagnosis capability of modern complicated weapon materiel.

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