Integration of rule based and case based reasoning system to support decision making

Verma, Luxmi; Srinivasan, Shriram; Sapra, Varun

doi:10.1109/icicict.2014.6781260

Cited by 10 publications

(5 citation statements)

References 1 publication

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“…Case-Based Reasoning performs the process of remembering the resolution of the previous problem. Then when there are new problems, Case-Based Reasoning compares the characteristics of new problems with problems that have been previously resolved [3], [4].…”

Section: Case-based Reasoning Methodsmentioning

confidence: 99%

“…The processes involved in CBR can be represented by a schematic cycle as shown in Figure 1. CBR is typical as a cyclical process comprising the four R's [3], [5]: a. RETRIEVE the most similar case(s) b. REUSE the case(s) to attempt to solve the problem c. REVISE the proposed solution if necessary d. RETAIN the new solution as a part of a new case. The CBR Method Flow…”

Section: Case-based Reasoning Methodsmentioning

confidence: 99%

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Case Service System at the Child Welfare Institution using the Case-Based Reasoning Method

Priyandoko

Andriani

Istiadi

et al. 2020

IJEEPSE

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The Child Social Welfare Institution (LKSA) is an institution tasked with providing relief services to meet the standards of living, health, education, and the social needs of both individuals and groups. An LKSA Robbani is one of the institutions that help in handling family and child cases by National Standards for Child Care. In solving child problems, the institution must open the previous case data to determine the appropriate solution, such that the service process becomes long. Therefore, an application software is needed that can help the institution to be faster. The developed system is using the Case-Based Reasoning (CBR) Method. The advantage of this method is how to adapt the solutions of the previous case, as well as in seeking similarity in each case that the most significant similarity value is considered the most similar case. The method is very suitable for building the application. The system that was built had to do a trial before being used by the user. The trial result was carried out of the system with manual calculations using the case-based reasoning method. Furthermore, from the results of the trial, it was produced by 87.5%.

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Section: Case-based Reasoning Methodsmentioning

confidence: 99%

Section: Case-based Reasoning Methodsmentioning

confidence: 99%

Case Service System at the Child Welfare Institution using the Case-Based Reasoning Method

Priyandoko

Andriani

Istiadi

et al. 2020

IJEEPSE

View full text Add to dashboard Cite

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“…Araujo de Castro et al used a hybrid model based on multi-criteria and CBR to diagnosis of Alzheimer's disease [25]. Other researchers have proposed hybrid solution by combining CBR with other techniques as reasoning by rules and many works emerged among these studies [6,30].…”

Section: Combining Cbr With Other Approachesmentioning

confidence: 97%

Clustering to Enhance Case-Based Reasoning

Mansoul

Atmani

2016

Modelling and Implementation of Complex Systems

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In this article, we propose an approach to improve CBR processing mainly in its retrieval task. A major difficulty arise when founding several similar cases and consequently several solutions, hence a choice must be done involving an appropriate strategy focusing the best solution. This main difficulty has a direct impact on the adaptation task. To overcome this limitation many works related to the retrieval task were conducted as hybridizing CBR with data mining methods. Through this study, we provide a combining approach using CBR and clustering to reduce the search space in the retrieval step. The objective is to consider only the most interesting cases and the most interesting solution to support decision and provide an intelligent strategy that enables decision makers to have the best decision aid. We also present some preliminary results and suggestions to extend our approach.

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“…Therefore, case-based knowledge reasoning is developed, in which the cases could be regarded as templates for similar occasions [49,50] . Verma et al [51] presented a conceptual decisionmaking system with both rule-based and case-based knowledge reasoning mechanisms. This system achieves an efficient and accurate solution by integrating both advantages.…”

Section: Knowledge Reasoningmentioning

confidence: 99%

Survey and Tutorial on Hybrid Human-Artificial Intelligence

Shi

Zhou

Liu

et al. 2023

Tsinghua Sci. Technol.

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The growing computing power, easy acquisition of large-scale data, and constantly improved algorithms have led to a new wave of artificial intelligence (AI) applications, which change the ways we live, manufacture, and do business. Along with this development, a rising concern is the relationship between AI and human intelligence, namely, whether AI systems may one day overtake, manipulate, or replace humans. In this paper, we introduce a novel concept named hybrid human-artificial intelligence (H-AI), which fuses human abilities and AI capabilities into a unified entity. It presents a challenging yet promising research direction that prompts secure and trusted AI innovations while keeping humans in the loop for effective control. We scientifically define the concept of H-AI and propose an evolution road map for the development of AI toward H-AI. We then examine the key underpinning techniques of H-AI, such as user profile modeling, cognitive computing, and human-in-the-loop machine learning. Afterward, we discuss H-AI's potential applications in the area of smart homes, intelligent medicine, smart transportation, and smart manufacturing. Finally, we conduct a critical analysis of current challenges and open gaps in H-AI, upon which we elaborate on future research issues and directions.

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Integration of rule based and case based reasoning system to support decision making

Cited by 10 publications

References 1 publication

Case Service System at the Child Welfare Institution using the Case-Based Reasoning Method

Case Service System at the Child Welfare Institution using the Case-Based Reasoning Method

Clustering to Enhance Case-Based Reasoning

Survey and Tutorial on Hybrid Human-Artificial Intelligence

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