Results 161 to 170 of about 1,768 (183)

VC-DRSA for knowledge retrieval based on technical analysis and investment practice

2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014), 2014
This study aims to retrieve useful knowledge from commonly adopted technical indicators, based on a soft computing model, to support investment decisions. Though the validity of technical analysis (TA) has been examined extensively by various statistical models in financial literature, a practical approach that may consider the inconsistency among ...
Kao-Yi Shen, Gwo-Hshiung Tzeng
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A refined DRSA model for the financial performance prediction of commercial banks

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2013
In this study, an integrated soft computing method is proposed to solve the performance prediction of commercial banks. The proposed model not only shows how to explore the implicit patterns from historical data, but also supports to provide guidance regarding the performance categorization of banks on each attribute.
Kao-Yi Shen, Gwo-Hshiung Tzeng
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Fuzzy Inference-Enhanced VC-DRSA Model for Technical Analysis: Investment Decision Aid

International Journal of Fuzzy Systems, 2015
To support investment decision based on technical analysis (TA), this study aims to retrieve the knowledge or rules of various indicators by a hybrid soft computing model. Although the validity of TA has been examined extensively by various statistical methods in literature, previous studies mainly explored the effectiveness of each technical indicator
Shen, Kao-Yi, Tzeng, Gwo-Hshiung
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On Performance of DRSA-ANN Classifier

2011
Rule-based and connectionist classifiers are typically named as two different approaches to recognition tasks. The first relies on induction of a set of rules that list conditions to be met for a decision to be applicable, while the latter means distribution of data and processing.
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Application of DRSA-ANN Classifier in Computational Stylistics

2011
Computational stylistics or stylometry deals with characteristics of writing styles. It assumes that each author expresses themselves in such an individual way that a writing style can be uniquely defined and described by some quantifiable measures. With help of contemporary computers the stylometric tasks of author characterisation, comparison, and ...
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DRSA Decision Algorithm Analysis in Stylometric Processing of Literary Texts

2010
When the indiscernibility relation, fundamental to Classical Rough Set Approach, is substituted with dominance relation, it results in Dominance-Based Rough Set Approach to data analysis. It enables support not only for nominal classification tasks, but also when ordinal properties on attribute values can be observed [1], making DRSA methodology well ...
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On Preference Order of DRSA Conditional Attributes for Computational Stylistics

2013
Computational stylistics (or stylometry) advocates that any writing style can be uniquely defined by quantitative measures. The patterns observed in textual descriptors are specific to authors in such high degree that it enables their recognition. In processing there can be employed techniques from artificial intelligence domain such as Dominance-Based
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?????????? "????????????????????? ?????????????????????????? (DRSA) ?????? ???????????????????????? ??????????????????????

2016
?????????????????????? ???????????????????? ???????????? ???????????? ?????????????????????????? ?????????????????????? ???distance-ranked sorting assembling??? (DRSA). ???????????????????????????????? ?????????????? ???????????????????????? ???????????????????????????????? ??????????????????????????. ???????????????? ?????????????????????? ????????????
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Using DRSA and Fuzzy Measure to Enlighten Policy Making for Enhancing National Competitiveness by WCY 2011

2012
The fuzzy measure of competitiveness criteria can be used to enlighten policy making for enhancing national competitiveness. However, fuzzy densities and interactions among criteria are usually unknown or uncertain for implications thus making analysis complicated and hard.
Yu-Chien Ko, Hamido Fujita, Gwo-Hshiung Tzeng   +2 more
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The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with Flow Network Graph

2013
A micro-blog is a social media tool that allows users to write short text messages for public and private networks. This research focuses specifically on the micro-blog on Facebook. The main purposes of this study are to explore and compare what recommendation sources influence the intention to use micro-blogs and to combine the personal ...
Yang-Chieh Chin, Chiao-Chen Chang, Chiun-Sin Lin, Gwo-Hshiung Tzeng   +3 more
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