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Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-39205-x_46openalex-snapshot
Variable Precision Bayesian Rough Set Model
inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-540-25929-9_46openalex-snapshot
The Rough Bayesian Model for Distributed Decision Systems
inferredcites →https://doi.org/10.1007/978-3-540-48061-7_1openalex-snapshot
Decision Rules, Bayes’ Rule and Rough Sets
inferredcites →https://doi.org/10.1007/978-3-540-48061-7_6openalex-snapshot
Discovery of Rules about Complications
inferredcites →https://doi.org/10.1007/978-3-540-88425-5openalex-snapshot
Rough Sets and Current Trends in Computing
inferredcites →https://doi.org/10.1007/978-3-7908-1840-6_5openalex-snapshot
Knowledge Discovery by Application of Rough Set Models
inferredcites →https://doi.org/10.1007/b72293openalex-snapshot
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
inferredcites →https://doi.org/10.1016/0022-0000(93)90048-2openalex-snapshot
Variable precision rough set model
inferredcites →https://doi.org/10.1016/j.ijar.2004.11.004openalex-snapshot
The investigation of the Bayesian rough set model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11548669openalex-snapshot
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
inferred← citeshttps://doi.org/10.1007/11548706openalex-snapshot
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
inferred← citeshttps://doi.org/10.1007/11847465_9openalex-snapshot
Variable Precision Bayesian Rough Set Model and Its Application to Kansei Engineering
inferred← citeshttps://doi.org/10.1007/11908029_4openalex-snapshot
Kansei Engineering and Rough Sets Model
inferred← citeshttps://doi.org/10.1007/978-3-642-03664-4_4openalex-snapshot
Apply Multi-class Fuzzy Support Vector Machines to Product-Form-Image Prediction
inferred← citeshttps://doi.org/10.1007/978-3-642-11960-6_38openalex-snapshot
Acquiring Knowledge from Decision Tables for Evidential Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-642-25255-6_17openalex-snapshot
Theory and Algorithm Based on the General Similar Relationship between the Approximate Reduction
inferred← citeshttps://doi.org/10.1016/j.ijar.2011.12.006openalex-snapshot
Bayesian rough set model: A further investigation
inferred← citeshttps://doi.org/10.1016/j.ins.2006.06.003openalex-snapshot
Rudiments of rough sets
inferred← citeshttps://doi.org/10.1016/j.ins.2012.02.006openalex-snapshot
Employing rough sets and association rule mining in KANSEI knowledge extraction
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.09.018openalex-snapshot
Fuzzy probabilistic rough sets and their corresponding three-way decisions
inferred← citeshttps://doi.org/10.1108/17542730810881285openalex-snapshot
Perspectives and the new trend of Kansei /affective engineering
inferred← citeshttps://doi.org/10.1109/icacsis.2014.7065882openalex-snapshot
Bayesian rough set model in hybrid Kansei Engineering for beverage packaging design
inferred← citeshttps://doi.org/10.1109/icsmc.2008.4811770openalex-snapshot
Neuro-rough models for modelling HIV
inferred← citeshttps://doi.org/10.1109/tem.2009.2025494openalex-snapshot
A Target-Based Decision-Making Approach to Consumer-Oriented Evaluation Model for Japanese Traditional Crafts
inferred← citeshttps://doi.org/10.1155/2011/295074openalex-snapshot
Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens
inferred← citeshttps://doi.org/10.1243/09596518jsce161openalex-snapshot
Kansei engineering and application of the rough sets model
inferred← citeshttps://doi.org/10.14569/ijarai.2015.040405openalex-snapshot
Accurate Topological Measures for Rough Sets
inferred← citeshttps://doi.org/10.20965/ijat.2022.p0807openalex-snapshot
Extraction and Design of Favorite Products Through Analyzing Customer Latent Preferences
inferred← citeshttps://doi.org/10.4236/jsea.2013.67b001openalex-snapshot
New Topological Approaches for Data Granulation
inferred← citeshttps://doi.org/10.46465/endustrimuhendisligi.788310openalex-snapshot
A RULE-BASED APPROACH TO SOFA DESIGN WITH KANSEI ENGINEERING
inferred← citeshttps://doi.org/10.48550/arxiv.0704.3433openalex-snapshot
Bayesian approach to rough set
inferred← citeshttps://doi.org/10.48550/arxiv.0705.0761openalex-snapshot
Bayesian Approach to Neuro-Rough Models
inferred← citeshttps://doi.org/10.5057/jjske.8.471openalex-snapshot
IDENTIFICATION OF CUSTOMERS KANSEI NEEDS AND DESIGN PATTERN BY ROUGH SET APPROACH
inferred← citeshttps://doi.org/10.5057/kansei.8.1_24openalex-snapshot
ROUGH SET MODEL AS KANSEI ENGINEERING TECHNOLOGY AND ITS APPLICATIONS
inferred← citeshttps://doi.org/10.5057/kei.5.4_41openalex-snapshot
ACQUISITION OF KANSEI DECISION RULES OF COFFEE FLAVOR USING ROUGH SET METHOD
inferred← citeshttps://doi.org/10.5057/kei.5.4_51openalex-snapshot
A COMPARATIVE STUDY ON APPROXIMATIONS OF DECISION CLASS AND RULE ACQUISITION BY ROUGH SETS MODEL AN APPLICATION TO THE DESIGN OF CHILDREN SHOES
inferred← citeshttps://doi.org/10.5815/ijmecs.2016.03.07openalex-snapshot
http://www.mecs-press.org/ijmecs/ijmecs-v8-n3/v8n3-6.html
inferred← citeshttps://doi.org/10.5821/dissertation-2117-94644openalex-snapshot
Statistical methods in Kansei engineering studies
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