Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection
出版年份 2018 全文链接
标题
Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection
作者
关键词
-
出版物
SOFT COMPUTING
Volume -, Issue -, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-11-19
DOI
10.1007/s00500-018-3633-8
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Computational intelligence in optical remote sensing image processing
- (2018) Yanfei Zhong et al. APPLIED SOFT COMPUTING
- Triangular cubic linguistic hesitant fuzzy aggregation operators and their application in group decision making
- (2018) Fazli Amin et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Some geometric operators with triangular cubic linguistic hesitant fuzzy number and their application in group decision-making
- (2018) A. Fahmi et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Trapezoidal cubic fuzzy number Einstein hybrid weighted averaging operators and its application to decision making
- (2018) Aliya Fahmi et al. SOFT COMPUTING
- Financial modeling and improvement planning for the life insurance industry by using a rough knowledge based hybrid MCDM model
- (2017) Kao-Yi Shen et al. INFORMATION SCIENCES
- A bijective soft set theoretic approach for concept selection in design process
- (2017) Varun Tiwari et al. JOURNAL OF ENGINEERING DESIGN
- Aggregation operators on triangular cubic fuzzy numbers and its application to multi-criteria decision making problems
- (2017) Aliya Fahmi et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Agronomic fortification of rice grains with secondary and micronutrients under differing crop management and soil moisture regimes in the north Indian Plains
- (2017) Anchal Dass et al. Paddy and Water Environment
- Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)
- (2017) Ting-Kwei Wang et al. Sustainability
- DFTDT: distributed functional tangent decision tree for aqua status prediction in wireless sensor networks
- (2017) Suresh Babu Chandanapalli et al. International Journal of Machine Learning and Cybernetics
- A survey of decision making methods based on certain hybrid soft set models
- (2016) Xueling Ma et al. ARTIFICIAL INTELLIGENCE REVIEW
- Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning
- (2016) Ştefan Conţiu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-class classification using hybrid soft decision model for agriculture crop selection
- (2016) N. Deepa et al. NEURAL COMPUTING & APPLICATIONS
- Weighted fuzzy soft multiset and decision-making
- (2016) Ajoy Kanti Das International Journal of Machine Learning and Cybernetics
- Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery
- (2015) Ailong Ma et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Reviews on decision making methods based on (fuzzy) soft sets and rough soft sets
- (2015) Jianming Zhan et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
- (2013) Dewan Md. Farid et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hierarchical Clustering Problems and Analysis of Fuzzy Proximity Relation on Granular Space
- (2012) Xu-Qing Tang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Soft rough fuzzy sets and soft fuzzy rough sets
- (2011) Dan Meng et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem
- (2011) Tuncay Özcan et al. EXPERT SYSTEMS WITH APPLICATIONS
- The bijective soft set with its operations
- (2010) Ke Gong et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Soft sets combined with fuzzy sets and rough sets: a tentative approach
- (2009) Feng Feng et al. SOFT COMPUTING
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