Foundations of Soft Case‐Based Reasoning

Pal, Sankar K.; Shiu, Simon

doi:10.1002/0471644676

Cited by 233 publications

(184 citation statements)

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“…by being applied to the real world environment or evaluated by a project manager, and repaired if failed. During retain, useful experience is retained for future reuse [7]. The cycle is shown in Fig.…”

Section: Case-based Reasoningmentioning

confidence: 99%

A Decision Support System for Game-Based Simulative Environment of Software Development Project Management

Sadabadi¹

2012

IJMLC

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Abstract-Simulations are today very common and are used frequently for education, testing, research, development, gaming etc. With a simulation and a decision support system, certain factors are manipulated depending on what event is being emulated. This report is about how to proceed to develop an environment with the basis of an expert system, which helps project managers to develop a software project. By developing a simulation model, based on a specific software development model, that model could be implemented in a project game, this to give the player the possibility to control and steer certain events in the project and to vary the result of the game.

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Section: Case-based Reasoningmentioning

confidence: 99%

A Decision Support System for Game-Based Simulative Environment of Software Development Project Management

Sadabadi¹

2012

IJMLC

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“…Consequently, due to the limited capacity and high cost of the mono-cell, this method of disposing of low-value and large volume waste such as plasterboard is not the preferred solution. (MTP, 2007a, James et al, 2006, Turban et al, 2005, Pal. and Shiu, 2004 (MTP, 2007b).…”

Section: Landfill Sites and Feesmentioning

confidence: 99%

Application of RFID and Mobile Technology to Plaster Board Waste in the Construction Industry

Zhang¹,

Atkins²,

Yu³

2011

Designing and Deploying RFID Applications

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“…A usual approach is the incorporation of fuzzy logic into a CBR system in order to improve CBR aspects [4], [29], [35], [9]. Such combinations have been vastly explored as imprecision and uncertainty are inherent in various CBR tasks.…”

Section: Combinations Of Cbr With Fuzzy Logicmentioning

confidence: 99%

Combinations of case-based reasoning with other intelligent methods

Prentzas

Hatzilygeroudis

2009

HIS

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Abstract. Case-based reasoning is a popular approach used in intelligent systems. Whenever a new case has to be dealt with, the most similar cases are retrieved from the case base and their encompassed knowledge is exploited in the current situation. Combinations of case-based reasoning with other intelligent methods have been explored deriving effective knowledge representation schemes. Although some types of combinations have been mostly explored, other types have not been thoroughly investigated. In this paper, we briefly outline popular case-based reasoning combinations. More specifically, we focus on combinations of case-based reasoning with rulebased reasoning, soft computing and ontologies. We illustrate basic types of such combinations and discuss future directions.

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Foundations of Soft Case‐Based Reasoning

Cited by 233 publications

References 0 publications

A Decision Support System for Game-Based Simulative Environment of Software Development Project Management

A Decision Support System for Game-Based Simulative Environment of Software Development Project Management

Application of RFID and Mobile Technology to Plaster Board Waste in the Construction Industry

Combinations of case-based reasoning with other intelligent methods

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