Design issues in fuzzy case-based reasoning

Slonim, T. Y.; Schneider, M.

doi:10.1016/s0165-0114(99)00055-x

Cited by 48 publications

(30 citation statements)

References 11 publications

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“…The evidence indicates that CBR can be better in some areas for example (Behbood, 2011) conclude that it gives better results when markets deviate from a stable equilibrium. Other researchers have also found it to have superior performance that ANN (Slonim, 2001;Shen 2012). This approach utilises one of the fundamentals of brain like activity, learning.…”

Section: Artificial Intelligence (Ai) -Biologically Inspired Approachesmentioning

confidence: 92%

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure

Minhas

Poria

Hussain

et al. 2013

Advances in Brain Inspired Cognitive Systems

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Abstract. Indisputably, financial reporting has a key role to play in the efficient workings of capitalist economies. Problems related to agency and asymmetric information (Jensen and Meckling, 1976) would abound and cripple financial markets, as it has done when left unchecked (Enron, WorldCom and Tyco). However for too long, quantitative data has monopolised the assessment and prediction role within this arena and this has contributed to the failures, borne out by research (Kumar & Ravi, 2007). As qualitative data proliferates, containing value relevant information it needs to be factored into the analysis. This paper reviews work on financial narrative disclosures and looks at conventional artificial intelligence and more recent biologically inspired computational approaches to catapult the domain to more progressive methods of using linguistic data in evaluations.

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Section: Artificial Intelligence (Ai) -Biologically Inspired Approachesmentioning

confidence: 92%

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure

Minhas

Poria

Hussain

et al. 2013

Advances in Brain Inspired Cognitive Systems

View full text Add to dashboard Cite

show abstract

“…Two retrieval techniques, 'Inductive Indexing' and 'Nearest Neighbor', are then applied to retrieve relevant cases from the case-base. Table 2 Formulae of calculating similarity (Slonim & Schneider, 2001).…”

Section: Cbr Methods and Database Constructionmentioning

confidence: 99%

Case-based parametric design system for test turntable

Liu

2011

Expert Systems with Applications

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“…The measurement process closely relates to the real feature format, which can be of different types, such as texts, single values, ranges, or linguistic terms. Different similarity functions with different feature types have been suggested, such as intersection distance, cosine distance, or Euclidean distance [70]. Euclidean distance is used in this paper for its simplicity.…”

Section: Step 1: Case Indexing With Fuzzy Similarity Indexmentioning

confidence: 99%

Using mutually validated memories of experts for case-based knowledge systems

2015

Knowledge-Based Systems

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Design issues in fuzzy case-based reasoning

Cited by 48 publications

References 11 publications

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure

Case-based parametric design system for test turntable

Using mutually validated memories of experts for case-based knowledge systems

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