Maintenance cost prediction for aging residential buildings based on case-based reasoning and genetic algorithm

2020 ◽  
Vol 28 ◽  
pp. 101006 ◽  
Author(s):  
Nahyun Kwon ◽  
Kwonsik Song ◽  
Yonghan Ahn ◽  
Moonsun Park ◽  
Youjin Jang
Keyword(s):  
Genetic Algorithm ◽  
Residential Buildings ◽  
Maintenance Cost ◽  
Case Based Reasoning ◽  
Cost Prediction ◽  
Case Based

R4 Model for Case-Based Reasoning and Its Application for Software Fault Prediction

2016 ◽  
Vol 8 (3) ◽  
pp. 19-38 ◽  
Author(s):  
Ekbal Rashid
Keyword(s):  
Software Quality ◽  
Similarity Measures ◽  
Fault Prediction ◽  
Maintenance Cost ◽  
Quality Level ◽  
Case Based Reasoning ◽  
Quality Prediction ◽  
Error Level ◽  
Software Fault Prediction ◽  
Case Based

Making R4 model effective and efficient I have introduced some new features, i.e., renovation of knowledgebase (KBS) and reducing the maintenance cost by removing the duplicate record from the KBS. Renovation of knowledgebase is the process of removing duplicate record stored in knowledgebase and adding world new problems along with world new solutions. This paper explores case-based reasoning and its applications for software quality improvement through early prediction of error patterns. It summarizes a variety of techniques for software quality prediction in the domain of software engineering. The system predicts the error level with respect to LOC and with respect to development time, and both affects the quality level. This paper also reviews four existing models of case-based reasoning (CBR). The paper presents a work in which I have expanded our previous work (Rashid et al., 2012). I have used different similarity measures to find the best method that increases reliability. The present work is also credited through introduction of some new terms like coefficient of efficiency, i.e., developer's ability.

scholarly journals Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

2015 ◽  
Vol 7 (4) ◽  
pp. 4318-4342 ◽  
Author(s):  
Jie Dou ◽  
Kuan-Tsung Chang ◽  
Shuisen Chen ◽  
Ali Yunus ◽  
Jin-King Liu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Image Analysis ◽  
Object Oriented ◽  
Case Based Reasoning ◽  
Case Based

R4 Model for Case-Based Reasoning and Its Application for Software Fault Prediction

2021 ◽  
pp. 825-847
Author(s):  
Ekbal Rashid
Keyword(s):  
Software Quality ◽  
Similarity Measures ◽  
Fault Prediction ◽  
Maintenance Cost ◽  
Quality Level ◽  
Case Based Reasoning ◽  
Quality Prediction ◽  
Software Fault Prediction ◽  
Software Quality Prediction ◽  
Case Based

Making R4 model effective and efficient I have introduced some new features, i.e., renovation of knowledgebase (KBS) and reducing the maintenance cost by removing the duplicate record from the KBS. Renovation of knowledgebase is the process of removing duplicate record stored in knowledgebase and adding world new problems along with world new solutions. This paper explores case-based reasoning and its applications for software quality improvement through early prediction of error patterns. It summarizes a variety of techniques for software quality prediction in the domain of software engineering. The system predicts the error level with respect to LOC and with respect to development time, and both affects the quality level. This paper also reviews four existing models of case-based reasoning (CBR). The paper presents a work in which I have expanded our previous work (Rashid et al., 2012). I have used different similarity measures to find the best method that increases reliability. The present work is also credited through introduction of some new terms like coefficient of efficiency, i.e., developer's ability.

scholarly journals A hybrid reasoning system for supporting estuary modelling

2005 ◽  
Vol 7 (3) ◽  
pp. 185-198
Author(s):  
Sara Passone ◽  
Vahid Nassehi ◽  
Paul W. H. Chung
Keyword(s):  
Genetic Algorithm ◽  
Physical Phenomenon ◽  
Computing Methods ◽  
Case Based Reasoning ◽  
Illustrative Case ◽  
Detailed Knowledge ◽  
Reasoning System ◽  
Hybrid Reasoning ◽  
Illustrative Case Study ◽  
Case Based

In this paper the development of a Case-Based reasoning system for Estuarine Modelling (CBEM) is presented. The aim of the constructed CBEM system is to facilitate the utilisation of complex modelling software by users who lack detailed knowledge about modelling techniques and require training and assistance to implement sophisticated software effectively. The system is based on modern computing methods and is constructed as a hybrid of three modules which operate conjunctively to guide the user to obtain the best possible simulation for realistic problems. These modules are: a case-based reasoning scheme, a genetic algorithm and a library of numerical estuarine models. Based on the features of a given estuary and the physical phenomenon to be modelled, an appropriate solution algorithm from the system's library is retrieved by the case-based module after a specifically designed reasoning process. The selected model is then analysed and further treated by the genetic algorithm component to find the optimum parameters which can appropriately model the conditions and characteristics of any given estuary. Using these modules the steps that yield the best solution for a problem from the available hydrographic data under a set of specified conditions are explained. This is further elucidated by an illustrative case study which shows the applicability of the present CBEM system under realistic conditions. This case deals with the simulation of salinity distribution in the Tay estuary (Scotland, UK).

scholarly journals The Concept of Method of Detecting and Analyzing Construction Defects in Residential Buildings

2019 ◽  
Vol 65 (4) ◽  
pp. 81-95
Author(s):  
K. Zima ◽  
S. Biel
Keyword(s):  
Residential Buildings ◽  
Weighted Sums ◽  
Case Based Reasoning ◽  
Repair Cost ◽  
Defect Management ◽  
Criteria Weights ◽  
Definition Of ◽  
Global Similarity ◽  
Case Based ◽  
Construction Defects

AbstractThe authors developed the definition of construction defect and fault and construction defect management based on Polish and foreign publications. In order to assist identification of faults and their analysis in the process of home collection, the authors applied the Case Based Reasoning (CBR) method. In the paper, the authors used Case Based Reasoning (CBR) to support acceptance of apartments. The CBR method allows to determine the magnitude of global similarity for the problem under consideration between the new and old case from the Case Base, using weighted sums of local similarities using criteria weights as coefficients. As a result of CBR-based solutions, an Employer’s representative receives information about the type of construction defects that can be expected, their location and significance, occurrence frequency, and estimated repair cost.

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