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Generalizations of Rough Sets: From Crisp to Fuzzy Cases [chapter]

Masahiro Inuiguchi
2004 Lecture Notes in Computer Science  
Fuzzy Relations On the Correspondence between Approximations and Similarity p. 143 Toward Rough Knowledge Bases with Quantitative Measures p. 153 Considering Semantic Ambiguity and Indistinguishability  ...  Historical Knowledge Extraction from the Structured Memory p. 561 Clustering Utilizing Rough Sets and Multi-objective Genetic Algorithms for Automated Clustering p. 567 Towards Missing Data  ... 
doi:10.1007/978-3-540-25929-9_3 fatcat:saiacsrpovgphlh5zzhoq4tcrq

A Rough Sets Approach to Teaching Quality Evaluation Modeling and Empirical Analysis

2016 Revista de la Facultad de Ingeniería  
Afterwards, by utilizing the algorithm of attribute reduction based on rough set theory, 17 indexes were simplified into 5; finally, based on the attributes significance, the model figured out the index  ...  model based on the rough set by means of expert interviews, questionnaire survey from the four dimensions: teaching attitude, teaching contents, teaching method and teaching effect.  ...  Based on research above, this article puts forward an optimization method for the teaching quality index system on account of rough set theory, including the setting of knowledge representatio system towards  ... 
doi:10.21311/ fatcat:fpsep764jreibdxghhd6gq3ola

Accuracy of Building Height Estimation from SAR Images

G. Franceschetti, R. Guida, A. Iodice, D. Riccio, G. Ruello
2006 2006 IEEE International Symposium on Geoscience and Remote Sensing  
The influence of an imperfect knowledge of ground truth is studied by means of a theoretical analysis compared with results deriving from simulation examples.  ...  For some cases, propagated errors are quantitatively evaluated and discussed.  ...  towards the radar.  ... 
doi:10.1109/igarss.2006.934 fatcat:5pmazp5zcjh3llaa3ghjpcojoe

Impact assessment of qualitative policy scenarios

Peter Nijkamp, Gabriella Vindigni
2003 Management of environmental quality  
The results obtained are discussed and re-analysed by using the rough-set approach as a recent meta-analytical tool.  ...  While in the past the studies in this context have typically concentrated on the contents of methods in isolation, there is a growing trend towards methodological perspectives that support the linking  ...  The P-definable set are those objects of the universe which can be exactly defined by knowledge base K (P-exact set), and P-indefinable set cannot be defined in this knowledge base (P-inexact or Rough)  ... 
doi:10.1108/14777830310460423 fatcat:bj7h4xdtmnb3rmdmg6lv3rmvse

Fuzzy Rough Sets Theory Reducts for Quantitative Decisions – Approach for Spatial Data Generalization [chapter]

Anna Fiedukowicz
2015 Lecture Notes in Computer Science  
The proposed method is based on the tnorm of fuzzy indiscernibility based on attribute value and fuzzy indiscernibility based on decision, which is calculated for each pair of objects.  ...  Such tools as reducts and fuzzy reducts, though useful, are still insufficient for the quantitative decisions, common in cartographical generalization.  ...  The discernibility matrix then, existing also in the traditional fuzzy sets theory, is filed with the measure of closeness (based on each attribute) for each pair of objects with different decision value  ... 
doi:10.1007/978-3-319-19941-2_30 fatcat:tclxcqqohjbxlgupu6exbwes6i

From Multi-Modal Property Dataset to Robot-Centric Conceptual Knowledge About Household Objects

Madhura Thosar, Christian A. Mueller, Georg Jäger, Johannes Schleiss, Narender Pulugu, Ravi Mallikarjun Chennaboina, Sai Vivek Rao Jeevangekar, Andreas Birk, Max Pfingsthorn, Sebastian Zug
2021 Frontiers in Robotics and AI  
With this goal in mind, we propose an extensible property estimation framework which consists of estimations methods to obtain the quantitative measurements of physical properties (rigidity, weight, etc  ...  A similar bottom-up argument has been put forth in cognitive science that humans and animals alike develop conceptual understanding of objects based on their own perceptual experiences with objects.  ...  qualitative conceptual knowledge about objects from the quantitative measurements.  ... 
doi:10.3389/frobt.2021.476084 pmid:33937343 pmcid:PMC8082111 fatcat:ldfaqmyqnnc6bjdqgfucp7lq7e

Data mining in soft computing framework: a survey

S. Mitra, S.K. Pal, P. Mitra
2002 IEEE Transactions on Neural Networks  
Rough sets are suitable for handling different types of uncertainty in data. Some challenges to data mining and the application of soft computing methodologies are indicated.  ...  Genetic algorithms provide efficient search algorithms to select a model, from mixed media data, based on some preference criterion/objective function.  ...  Fuzzy sets are inherently inclined towards coping with linguistic domain knowledge and producing more interpretable solutions.  ... 
doi:10.1109/72.977258 pmid:18244404 fatcat:wz6gxwj3mvgexl6slz3dl4q54i

Measurements of skin elasticity and slip; Applications in efficacy substantiation

M. Okada, T. Ishida, S. Yuasa
1983 Journal of Society of Cosmetic Chemists of Japan  
Using the "Skin Slip Resistance Meter", we quantitatively measured slip resistance on different skin surfaces treated with various cosmetics including toning lotion , creams and studied their effects with  ...  For skin elasticity, the instrument measured swelling height of the skin placed under a suction cup with variable pressure.  ...  Towards this end , we have devel oped many sensory test methods and instruments Including ones which are intended to measure rough ness, color, gloss, oilyness, elasticity , slip and thermography on the  ... 
doi:10.5107/sccj.17.7 fatcat:e5txquq6cnhdzmx2cj45gjojci

Page 57 of Journal of Aircraft Vol. 23, Issue 1 [page]

1986 Journal of Aircraft  
At this stage, it should be noted that knowledge of fluid drag over rough surfaces is based largely on conventions de- rived from the sand grain roughness experiments performed by Nikuradse over 50 years  ...  Toward that end, the profiles and area maps (stored per- manently on computer disks) yield detailed knowledge of the surface roughness topography of typical model surface finishes.  ... 

The effect of numerical aperture on quantitative use-wear studies and its implication on reproducibility

Ivan Calandra, Lisa Schunk, Konstantin Bob, Walter Gneisinger, Antonella Pedergnana, Eduardo Paixao, Andreas Hildebrandt, Joao Marreiros
2019 Scientific Reports  
The results demonstrate that 3D surface texture ISO 25178 parameters differ significantly when the same surface is measured with objectives having different numerical apertures.  ...  We argue that to move use-wear analysis toward standardization, repeatability and reproducibility, the first step is to report all acquisition and analysis settings.  ...  Therefore, a roughness standard with nominal Ra = 0.40 ± 0.05 μm was measured with each of the two objectives. The measured Ra values were then compared to the nominal value. Data acquisition.  ... 
doi:10.1038/s41598-019-42713-w pmid:31004088 pmcid:PMC6474883 fatcat:r2twc3mvdfchvlpeblt5wsoi4u

Assessing the Performance of Sustainable Development Goals of EU Countries: Hard and Soft Data Integration

Ewa Chodakowska, Joanicjusz Nazarko
2020 Energies  
The most common are quantitative methods based on hard data. Some qualitative studies based on soft data are also available but rare.  ...  This article proposes hybrid Rough Set Data Envelopment Analysis (DEA) and Rough Set Network DEA models that integrate both approaches.  ...  Assessment with both quantitative and qualitative variables is less strict.  ... 
doi:10.3390/en13133439 fatcat:yuog3p7tkbhqfbqi3n3zsn6c5q

Autonomous rule induction from data with tolerances in customer relationship management

Tzu-Liang (Bill) Tseng, Chun-Che Huang, Yu-Neng Fan
2011 Expert systems with applications  
This paper presents a novel rough set based algorithm for automated decision support for CRM.  ...  strength index (SI) in the same case, where the data with tolerance.  ...  Moreover, numerous rough set based algorithms have been developed for dealing with integer numbers (Lin & Cercone, 1997; Ziarko, 1994) .  ... 
doi:10.1016/j.eswa.2010.09.098 fatcat:7ueagkuryrfxdataiypwm2qvgu

Technologies for qualitative meta-synthesis of community consensus

Xijin Tang
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
Two technologies, CorMap and iView, conduct exploratory analysis toward those topics or ideas created bottom-up and facilitate human-machine interaction by visualization of the analytical process based  ...  Systems methodologies toward wicked problems or societal complex systems usually call for a collaborative problem solving process.  ...  by synthesizing data, information, quantitative models, knowledge, experiences into an interdisciplinary problemsolving process for both proposing hypothesis and quantitative According to Qian's original  ... 
doi:10.1109/icsmc.2009.5346750 dblp:conf/smc/Tang09a fatcat:nrdrjal4p5eodeb2oa7rqueuwm

A ROLE OF GRANULARITY AND BACKGROUND KNOWLEDGE IN REASONING PROCESSES Towards a Foundation of Kansei Representation in Human Reasoning

Tetsuya MURAI, Yasuo KUDO, Seiki AKAMA
2006 Kansei Engineering International  
We represent subjective knowledge by lower approximation in rough set theory under granularity generated by background knowledge .Then we examine monotonicity and non-monotonicity between the two levels  ...  In this paper, we present a foundation of formulating human reasoning processes with Kansei representationbased on granularity generated by background knowledge.  ...  In order to deal with degrees of granularity in a quantitative way, several kinds of measures are introduced for the finite universe case.  ... 
doi:10.5057/kei.6.3_41 fatcat:62obizugujhq7lsh7b7h7zu7km

Intelligent Techniques in Decision Making: A Survey

T. K. Das
2016 Indian Journal of Science and Technology  
to elicit the desired knowledge out of it.  ...  Background/Objectives: With the idea of enhancing the capability and effectiveness of decision making while dealing complex problems and under uncertain environments, this article provides an insight to  ...  Rough Set Theory Followed by theory of probability, fuzzy set theory, Rough Set Theory (RST), introduced by Pawlak 33 is a mathematical approach to deal with uncertain, vague and imperfect knowledge  ... 
doi:10.17485/ijst/2016/v9i12/86063 fatcat:gfczane3s5fhteyiktg4tfb3zq
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