搜索结果: 1-15 共查到“理学 Fuzzy”相关记录194条 . 查询时间(0.13 秒)
给出了一种R-fuzzy集隶属度的权重比较与量化方法, 提出了优势测度概念, 解决了粗糙近似集中隶属度的重要性难以确定的问题. 首先给出优势测度的定义, 然后, 研究了优势测度的性质, 指出了优势测度1型模糊集的本质属性. 优势测度不仅实现了R-fuzzy集隶属度的量化, 而且成为R-fuzzy集与2型模糊集联系的纽带. 通过隶属度的优势测度, 实现了人类感知领域中的群体共识与个性认识的区分, 反...
基于AHP-FUZZY的地震危险度评价初探
AHP-FUZZY 天津 地震危险度评价
2019/1/4
以天津地区为例，通过对断裂构造及地震等基础资料的分析处理，建立了适合大区域的地震危险水平评价方法体系，利用层次分析法确定该评价指标体系中评价因子的权值，运用两级模糊综合评判法对研究区的危险水平分区进行定量评价，最终根据最大隶属度原则得出天津地区危险度评价结果。结果显示：极高危险区基本分布在塘沽、津南区葛沽镇、宁河区及蓟运河断裂附近；高危险区主要分布在天津市区部分区域、蓟州区桑梓镇及极高危险区周边等...
SAR IMAGE CHANGE DETECTION BASED ON FUZZY MARKOV RANDOM FIELD MODEL
SAR change detection Markov random field fuzzy set theory
2018/5/16
Most existing SAR image change detection algorithms only consider single pixel information of different images, and not consider the spatial dependencies of image pixels. So the change detection resul...
HAZARD ASSESSMENT OF LANDSLIDE DISASTER IN FUJIAN PROVINCE BASED ON FUZZY MATHEMATICS
Landslide Hazard Assessment Fuzzy Mathematics
2018/5/15
Landslide disasters are the most frequent geological disasters in Fujian Province. They are also the type of geological disasters that cause the most serious economic and population losses each year. ...
LANDSLIDE IDENTIFICATION FROM IRS-P6 LISS-IV TEMPORAL DATA-A COMPARATIVE STUDY USING FUZZY BASED CLASSIFIERS
Kashmir earthquake CBSI LISS-IV Vegetation Index Temporal PCM
2018/4/18
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
LANDSLIDE IDENTIFICATION FROM IRS-P6 LISS-IV TEMPORAL DATA-A COMPARATIVE STUDY USING FUZZY BASED CLASSIFIERS
Kashmir earthquake CBSI LISS-IV Vegetation Index Temporal PCM
2018/5/8
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
Dark matter is likely ‘cold,’ not ‘fuzzy,’ scientists report after new simulations（图）
Dark matter cold not fuzzy scientists new simulations
2017/9/1
Scientists have never directly detected dark matter. But over decades, they have proposed a variety of theories about what type of material — from new particles to primordial black holes — could compr...
MULTI-PATCHES IRIS BASED PERSON AUTHENTICATION SYSTEM USING PARTICLE SWARM OPTIMIZATION AND FUZZY C-MEANS CLUSTERING
Particle swarm optimization Fuzzy c-means Taylor’s series expansion weighted mean Hamming distance Iris recognition system
2017/6/19
Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented ...
LANDSLIDE SUSCEPTIBILITY ASSESSMENT THROUGH FUZZY LOGIC INFERENCE SYSTEM (FLIS)
Landslide GIS Susceptibility Fuzzy logic Pakistan
2016/10/14
Landslide is among one of the most important natural hazards that lead to modification of the environment. It is a regular feature of a rapidly growing district Mansehra, Pakistan. This caused extensi...
8th International Conference on Fuzzy Computation Theory and Applications
Integrated Maintenance Modeling Optimization in Manufacturing Systems
2016/7/19
Fuzzy computation is a field that encompasses the theory and application of fuzzy sets and fuzzy logic to the solution of information processing, systems analysis and synthesis problems. Bolstered by ...
Reducing the subjectivity of intensity estimates: the Fuzzy Set approach
macroseismic intensity fuzzy sets Mugello Garfagnana
2015/9/30
We describe a method for the encoding and the computer analysis of the macroseismic effects deduced from historical sources allowing the complete formalization of the process of seismic intensity asse...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
ransmissivity Kriging Artificial Neural Network ANFIS Neuro-Fuzzy interpolation groundwater
2015/8/11
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS
2015/8/6
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
QUANTIFYING THE ECOLOGICAL PATTERNS OF URBAN DENSIFICATION THROUGH MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS, LANDSCAPE METRICS, AND FUZZY LOGIC
Sustainability Urban Change MESMA Fuzzy Logic Landscape Metrics Los Angeles
2015/7/29
This paper introduces an integrative methodology that has been developed to measure temporal changes in urban morphology based
on the techniques of multiple endmember spectral mixture analysis (MESM...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
Neuro-Fuzzy interpolation groundwater
2015/1/6
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...