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A fuzzy logic approach to analyzing gene expression data

2000 Physiological Genomics  
A fuzzy logic approach to analyzing gene expression data. Physiol Genomics 3: 9-15, 2000.-We have developed a novel algorithm for analyzing gene expression data.  ...  By using a fuzzy logic approach to analyzing expression profile data, it is possible to confirm the mechanism of a known target.  ... 
doi:10.1152/physiolgenomics.2000.3.1.9 pmid:11015595 fatcat:rslowiqhfzbkvlig5qky52lrne

A fuzzy approach to ecological modelling and data analysis [chapter]

A. Salski, B. Holsten, M. Trepel
2009 Handbook of Ecological Modelling and Informatics  
A fuzzy clustering approach was chosen to handle the uncertainty of the input data.  ...  Hybrid approaches to data analysis and ecological modelling There are also a number of hybrid approaches, which result from linking the fuzzy approach with other techniques, e.g.: fuzzy approach with neural  ... 
doi:10.2495/978-1-84564-207-5/08 fatcat:kkjcrbxwkvcbdie2y4xur7g3vq

Optimal Fall Protection System Selection Using a Fuzzy Multi-Criteria Decision-Making Approach for Construction Sites

Haifeng Jin, Paul M. Goodrum
2021 Applied Sciences  
This study develops a fuzzy multi-criteria decision-making model integrating analytical hierarchy process, fuzzy set theory and Technique for Order Preference by Similarity to Ideal Solution approach to  ...  Construction falls are a leading cause of fatalities in almost every construction industry around the globe, and fall protection systems are the key measures to ensure the safety of labor crews.  ...  Data Availability Statement: The data presented in this study are available on request from the corresponding author. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11115296 fatcat:2jald35ynvbzhoivpufxapvygu

A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency [article]

Jinkun Cao, Jinhao Zhu, Liwei Lin, Zhengui Xue, Ruhui Ma, Haibing Guan
2019 arXiv   pre-print
In this paper, we propose a new scheme of multi-keyword fuzzy search over encrypted and outsourced data.  ...  Our approach introduces a new mechanism to map a natural language expression into a word-vector space.  ...  Non-fuzzy Search 0.25 As a basic requirement, fuzzy search approaches  ... 
arXiv:1904.12111v2 fatcat:cosfwknxhnfopiguc75nx3txk4

Robust frequency control in a renewable penetrated power system: an adaptive fractional order-fuzzy approach

Anil Annamraju, Srikanth Nandiraju
2019 Protection and Control of Modern Power Systems  
) controller, optimal fractional order (FO)-PID controller, optimal fuzzy PID controller, optimal FO-fuzzy PID controller are compared with the proposed approach.  ...  Originality/value: In this paper, an adaptive FO-fuzzy-PID controller is proposed for LFC of a renewable penetrated power system.  ...  Availability of data and materials Data sharing not applicable to this article as no data were generated or analyzed during the study.  ... 
doi:10.1186/s41601-019-0130-8 fatcat:cu3cma6yhvaaxn2isrlxpd7ddq

A Multi-Level Privacy-Preserving Approach to Hierarchical Data Based on Fuzzy Set Theory

Jinyan Wang, Guoqing Cai, Chen Liu, Jingli Wu, Xianxian Li
2018 Symmetry  
However, the existing anonymization method based on l-diversity for hierarchical data may cause a serious similarity attack, and cannot protect data privacy very well.  ...  In this paper, we utilize fuzzy sets to divide levels for sensitive numerical and categorical attribute values uniformly (a categorical attribute value can be converted into a numerical attribute value  ...  To avoid similarity attack, we propose a multi-level privacy-preserving approach in hierarchical data based on fuzzy sets.  ... 
doi:10.3390/sym10080333 fatcat:7ayfsyfez5djfgy62xnobdcklq

Carbon and nutrient removal from domestic wastewaters in a modified 5-stage Bardenpho process via fuzzy modeling approach

2019 Environment Protection Engineering  
In the study, the effluent COD, TKN, and TP concentrations were also estimated using a fuzzy logic approach.  ...  The results showed that coefficients of determination are higher than 0.80 suggesting that the presented fuzzy logic approach may confidently be used for the estimation of the treatment performance.  ...  The fuzzifier converts the input data into a fuzzy input set.  ... 
doi:10.37190/epe190101 fatcat:keyu3gmkvfdg3erurek6rpx4ee

A Fuzzy Approach for Overcurrent Relays Simulation [chapter]

Hossein Askarian Abyaneh, Hossein Kazemi Karegar, Majid Al-Dabbagh
2003 Lecture Notes in Computer Science  
This paper proposes a new method for modelling of OC relays based on fuzzy logic.  ...  Accurate models for Overcurrent relays (OC) with inverse time characteristics have an important role for efficient coordination of power system protection devices.  ...  Subsequently, the curve between two neighbouring data is close to a direct line. Therefore, the value of r increases and approaches a value close to one.  ... 
doi:10.1007/3-540-44863-2_10 fatcat:2ehxcbzipjhclhuh3qpeff5gti

FMEA in Smartphones: A Fuzzy Approach

Esmeralda Kadena, Sinan Koçak, Katalin Takács-György, András Keszthelyi
2022 Mathematics  
This work aims to investigate these failures in a typical smartphone by collecting data from a class of people.  ...  The widely used hybridized engineering method, Fuzzy Failure Mode and Effect Analysis (F-FMEA), is an excellent approach to solving these problems.  ...  We hope that further tests and comparative analysis of different fuzzy applications will confirm our approach.  ... 
doi:10.3390/math10030513 fatcat:fzjz4xzlavejdh3laovzgyjgw4

Measuring flood resilience: a fuzzy logic approach

Victor Oluwasina Oladokun, David G. Proverbs, Jessica Lamond
2017 International Journal of Building Pathology and Adaptation  
The fuzzy logic: A general Overview Fuzzy set theory provides a mathematical tool for modeling uncertain, imprecise vague and subjective data which represents a huge class of data encountered in most real  ...  The fuzzy logic approach accommodates the imprecise, incomplete, vague and subjective data that characterize many real life flood risk management problems.  ...  Appendix 1: Fuzzy rules Rules premise Rules Consequence  ... 
doi:10.1108/ijbpa-12-2016-0029 fatcat:7ipzxry43rhyneto46mile22ey

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Zhen Peng, Lifeng Wu
2017 Sustainability  
Third, a data mining method based on the genetic algorithm is used to discover the causality values of a fuzzy cognitive map (FCM) for haze-fog formation.  ...  The validity of this approach is determined by definition of a simple rule and the Kappa values.  ...  Author Contributions: Zhen Peng performed the studies on the fuzzy cognitive map and its approaches to data mining.  ... 
doi:10.3390/su9030352 fatcat:dexk46bxbbc6bavy5b3clmvpee

A fuzzy logic based approach to support users self-control of their private contextual data retrieval

Amr Ali Eldin, René W. Wagenaar
2004 European Conference on Information Systems  
fuzzy logic reasoning.  ...  Increasingly, we define a new data set called "contextual privacy attributes" which is associated with each user contextual data, and corresponds to influencing factors.  ...  Figure 2 Consent _decide fuzzy rules In the proposed fuzzy approach, rules are defined as "if then" blocks.  ... 
dblp:conf/ecis/EldinW04 fatcat:pahasto43zfiffnhoqiogzyvoq

Fuzzy Model Identification: A Firefly Optimization Approach

Shakti Kumar, Parvinder Kaur, Amarpartap Singh
2012 International Journal of Computer Applications  
Simulations on two well known problems, one battery charger that is a fuzzy control problem and another Iris data classification problem are conducted to verify the performance of above approach.  ...  This paper presents a recent nature-inspired algorithm named Firefly algorithm (FA) for automatically evolving a fuzzy model from numerical data.  ...  Two different approaches are used for the design of fuzzy models: Knowledge driven and Data driven models.  ... 
doi:10.5120/9283-3475 fatcat:hqgkd7uco5fannyknkkthezplq

Unsupervised feature evaluation: a neuro-fuzzy approach

S.K. Pal, R.K. De, J. Basak
2000 IEEE Transactions on Neural Networks  
The present article demonstrates a way of formulating neuro-fuzzy approaches for both feature selection and extraction under unsupervised learning.  ...  A fuzzy feature evaluation index for a set of features is defined in terms of degree of similarity between two patterns in both the original and transformed feature spaces.  ...  That is, any occurrence of such a situation will be automatically protected by the process of minimizing .  ... 
doi:10.1109/72.839007 pmid:18249767 fatcat:f4tmr2ajbjhqhl7fqvml3kwqkq

A Fuzzy Approach for Assessing Transportation Infrastructure Security [chapter]

Michelle S. Dojutrek, Samuel Labi, J. Eric Dietz
2015 Complex Systems Design & Management  
Fuzzy Degree of Resilience: 1.53 Case Study • LFM Bridge Consequence Factor Data Fuzzy Degree of Consequence: 1.78 Methodology • Membership Functions 32 Case Study • Leo Frigo Memorial Bridge  ...  Investigates the ability of a determined adversary to successfully defeat security countermeasures put in place to protect an asset and execute an attack Estimates the losses associated with each  ... 
doi:10.1007/978-3-319-11617-4_15 dblp:conf/csdm/DojutrekLD14 fatcat:32i3qvqdxfbexlab56kfij2l3i
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