Applying case based reasoning for prioritizing areas of business management

Carmona, Miguel Ángel Velázquez; Barbancho, Julio; Larios, Diego Francisco; León, Carlos

doi:10.1016/j.eswa.2012.12.053

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…Case-based Reasoning (CBR) is a method that helps extract the effective solutions adopted previously in addressing certain type of problems and applies these solutions as decision-making references to solve a new problem(Yang and Wang, 2009). It is widely used in many fields for decision making(Chen et al, 2016a;Zhang and Dai, 2018), problems diagnosis(Gu et al, 2017;Tung et al, 2010), products design(Yang and Chen, 2011;Shen et al, 2017a), and business management(Carmona et al, 2013;Sartori et al, 2016). In the research method section in the revised paper, the Lessons Mining System (LMS) is proposed by developing and innovating the CBR.15 Could someone replicate my study?Thanks for the reviewer's question.…”

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confidence: 99%

A lessons mining system for searching references to support decision making towards sustainable urbanization

Wang

Shen

Ren

et al. 2019

Journal of Cleaner Production

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The recurrence of similar problems caused by human errors in urbanization process is common throughout the world. However, the knowledge learnt from these problems should become lessons as references for decision-making to avoid the recurrence of these problems, thus the results of urbanization are sustainable. It is considered of imperative importance to incorporate the lessons experienced into the decisionmaking process in a way that can help foresee the potential problems and take proper measures for addressing the problems. There is little existing study on how previous lessons are mined and incorporated in foreseeing the potential problems in future. The lack of this mining mechanism presents a significant barrier for decision makers to learn from the existing lessons thus to have references of how to make better decisions for future urbanization practices. This paper presents a Lessons Mining System (LMS) to assist in mining lessons experienced from previous practices. The system includes five components, namely, Lessonscase Representation , Lessons-case Store, Lessons-case Retrieval, Lessons-case Application, and Lessons-case Update. LMS can facilitate decision makers to understand what potential problems might occur from their current actions by referring to the lessons experienced previously in similar circumstances. This understanding can help decision makers take preventive measures to mitigate the potential problems. In other words, the use of LMS can send alarming messages to decision makers about what possible problematic consequence may occur thus they can modify their actions before too late. The establishment of LMS is based on Casebased Reasoning (CBR) theory and the similarity matching principles. A demonstration of Yangwu Town is presented to show the application of the system, and the result shows that the lessons mined can provide valuable references for the government of Yangwu Town to improve their decisionmaking quality.

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confidence: 99%

A lessons mining system for searching references to support decision making towards sustainable urbanization

Wang

Shen

Ren

et al. 2019

Journal of Cleaner Production

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“…As is known to all, the case-based reasoning (CBR) technique is good at solving problems by retrieving and reusing information and knowledge of the similar historical cases (Aamodt & Plaza, 1994;Abelson & Schank, 1977;Hansen, Meservy, & Wood, 1994). Over the decades, CBR was widely applied in various areas such as medicine (El-Fakdi, Gamero, Meléndez, Auffret, & Haigron, 2014;Guessoum, Laskri, & Lieber, 2014;Ting, Wang, Kwok, Tsang, & Lee, 2010;Zhuang, Churilov, Burstein, & Sikaris, 2009), manufacturing industry (Kuo, 2010;Wu, Lo, & Hsu, 2008) and business (Carmona, Barbancho, Larios, & León, 2013;Li, Adeli, Sun, & Han, 2011), etc. It can been found that there are some studies on risk management based on CBR (Aarts, 1998;Bajo, Borrajo, De Paz, Corchado, & Pellicer, 2012;Chang, Ma, Song, & Gao, 2010;Dingwei & Xinping, 2011;Goh & Chua, 2009;Jung, Han, & Suh, 1999;Kumar & Viswanadham, 2007;Li, Yu, Zhou, & Cai, 2013;Lu, Li, & Xiao, 2013;Yao, Chen, & Yang, 2014).…”

Section: Introductionmentioning

confidence: 98%

Generating project risk response strategies based on CBR: A case study

Fan

Zhang

2015

Expert Systems with Applications

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“…CBR technology can be used to develop support systems for business management 1 . Case based reasoning is a computational intelligence tool that solves new problems by using or revising solutions used to solve old similar problems 2 .…”

Section: Introductionmentioning

confidence: 99%

“…( )/( ( ) ( ) ) WPSimScore depth lca depth kx depth ky (1) depth(lca) is the depth of the lowest common ancestor, depth(kx) is the depth of the keyword kx and depth(ky) is the depth of the keyword ky.…”

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confidence: 99%

Ontology-based Document Mining System for IT Support Service

Shanavas¹,

Asokan²

2015

Procedia Computer Science

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Information Technology (IT) is a vital and an integral part of every organization. IT executives are constantly faced with problems that are difficult to tackle and time consuming. Experience is required to solve these problems easier and faster. We can utilize case-based reasoning (CBR), data mining and information retrieval (IR) techniques to automate IT problem solving and experience management. In this paper, we propose an IT ontology-based system for semantic retrieval that increases the efficiency and quality of IT support service. The proposed approach retrieves similar problem/solution pairs based on the concepts in the query and performs better than the traditional keyword-based approach especially in cases where the keywords of the relevant documents do not match the keywords in the query.

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Applying case based reasoning for prioritizing areas of business management

Cited by 8 publications

References 25 publications

A lessons mining system for searching references to support decision making towards sustainable urbanization

A lessons mining system for searching references to support decision making towards sustainable urbanization

Generating project risk response strategies based on CBR: A case study

Ontology-based Document Mining System for IT Support Service

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