DIARES-IPM: a diagnostic advisory rule-based expert system for integrated pest management in Solanaceous crop systems

Mahaman, B.D.; Passam, H. C.; Sideridis, Alexander B.; Yialouris, Constantine P.

doi:10.1016/s0308-521x(02)00187-7

Cited by 68 publications

(33 citation statements)

References 29 publications

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“…Since, the experts for diagnosis may not available everywhere, many diagnostic expert systems have been developed in the past (Airu, 1999;Boyd and Sun, 1994;Caristi et al, 1987;Cirio et al, 1998;Donahue et al, 1991;Ghosh and Samanta, 2003;Kramers et al, 1998;Latin and Rettinger, 1987;Lopez-Morales et al, 2008;Mahaman et al, 2003;Mansingh et al, 2007;Michalski et al, 1983;Sanchez et al, 1993;Wang et al, 2005;Yialouris and Sideridis, 1996;Yialouris et al, 1997;Zandonadi et al, 2005;Zhang et al, 1993).…”

Section: Expert Systemmentioning

confidence: 99%

Design and development of web enabled fuzzy expert system using rule advancement strategy

Solanki

Kumar

2017

IJISDC

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This paper reports a new approach for providing intelligence in the expert system for diagnosis of diseases for rose flower. It describes the development of a web-based intelligent disease diagnosis system. This expert system is based on a fuzzy logic approach and the Euclidean distance method. This approach is based on rule advancement strategy. This approach enables the drawing of inferences with the enhanced intelligence. This approach is used in the existing fuzzy technique for inferencing in expert system. The proposed expert system incorporates new features: 1) development of knowledge management platform; 2) dynamic knowledge base creation strategy. The dynamically prompted rules are derived from those diagnosis sessions which resulted in successful decisions. This enables more efficient decision-making in the future sessions; 3) dynamic knowledge acquisition; 4) explanation facility which incorporates the rule firing history and rule explanation generator. This expert system gives an acceptable diagnosis of diseases. The inferences are drawn faster compared to traditional approaches. The proposed expert system which is based on rule advancement strategy has been tested for flower rose.Keywords: expert system; dynamic knowledge base; rule advancement strategy; RAS; fuzzy logic; PHP; knowledge management platform; KMP.Reference to this paper should be made as follows: Solanki, A. and Kumar, E. (2017) 'Design and development of web enabled fuzzy expert system using rule advancement strategy', Int.

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Section: Expert Systemmentioning

confidence: 99%

Design and development of web enabled fuzzy expert system using rule advancement strategy

Solanki

Kumar

2017

IJISDC

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“…This finding also applies to specialised DSS development such as ES and KBDSS. As described earlier, conventional evaluation approaches for specialised DSS development are based on the V & V (verification and validation) approach (Mahaman,Passam, Sideridis and Yialouris 2003;Mansingh, Reichgelt and Bryson, 2007;Juristo and Morant, 1998;El-korany, Rafae,Baraka and Eid, 2000). Verification is described as "building the system right", that is, a system appropriately implements its specification.…”

Section: Issues In Evaluation Approachesmentioning

confidence: 99%

“…Verification is described as "building the system right", that is, a system appropriately implements its specification. Validation is described as "building the right system" (Mahaman et al, 2003). For evaluating ES, Mansingh et al (2007) conducted the validation approach by comparing the system outputs with a case solution by human experts.…”

Section: Issues In Evaluation Approachesmentioning

confidence: 99%

A Development-Oriented IS Evaluation Approach: Case Demonstration for DSS

Miah

Debuse

Kerr

2012

AJIS

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As a subset of the Information systems (IS) discipline, Decision Support Systems (DSS) development research needs a broader conceptual lens in order to evaluate design qualities specific to DSS. This paper presents a development-oriented approach for evaluating DSS applications. Based on a design science mental model proposed by Peffers, Tuunanen, Rothenberger and Chatterjeea (2008), our study outlines a new application area of this conceptual approach through a case demonstration of DSS development through various design checkpoints. To assess the proposed developmentoriented evaluation strategy the paper also describes a qualitative investigation that has been undertaken to assess the conceptual approach with target industry DSS users and developers. The findings suggest that this strategy is of use for improving the overall design qualities in every phase of DSS development, and could be useful for evaluating DSS design with target users and DSS designers within a socio-technical design context.

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“…Some examples of AI techniques include: ES development using rule based methods by Mahaman et al (2003) and Plant and Vayssieres (2000); ES development using Knowledge based methods by Cohen and Shoshany (2002) and Girard and Hubert (1999); and ES development using neural network based method by Fu (1998). However, giving end users such empowerment in DSS development is limited.…”

Section: Introductionmentioning

confidence: 99%

“…One track is the advisory systems which focused on replacing human expertise to enable decision making. In this example we can include the studies of Gillard et al (1997), Mansingh, et al (2005), and Mahaman et al (2003). Another track in ES development is the use of diagnostic support tools.…”

Section: Introductionmentioning

confidence: 99%

A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators

Miah

Kerr

Gammack

2009

Expert Systems with Applications

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DIARES-IPM: a diagnostic advisory rule-based expert system for integrated pest management in Solanaceous crop systems

Cited by 68 publications

References 29 publications

Design and development of web enabled fuzzy expert system using rule advancement strategy

Design and development of web enabled fuzzy expert system using rule advancement strategy

A Development-Oriented IS Evaluation Approach: Case Demonstration for DSS

A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators

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