Journal ArticleDOI
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
Mohammad Ahmadlou,Mohammad Karimi,S. Alizadeh,Ataollah Shirzadi,D. Parvinnejhad,Himan Shahabi,Mahdi Panahi +6 more
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TLDR
An adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-based computation methods namely biogeography-based optimization (BBO) and BAT algorithm (BA) with GIS to map flood susceptibility in a region of Iran shows its great potential by considering higher accuracy and lower computational time, in mapping and assessment of flood susceptibility.Abstract:
This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-based computation methods namely biogeography-based optimization (BBO) and BAT algorithm (BA) with GIS to map...read more
Citations
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Journal ArticleDOI
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi,Himan Shahabi,Binh Thai Pham,Jan Adamowski,Ataollah Shirzadi,Biswajeet Pradhan,Biswajeet Pradhan,Jie Dou,Hai-Bang Ly,Gyula Gróf,Huu Loc Ho,Haoyuan Hong,Kamran Chapi,Indra Prakash +13 more
TL;DR: In this article, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR, TOPSIS and SAW) along with two machine learning methods (NBT and NB) were tested for their ability to model flood susceptibility in one of China's most flood-prone areas, the Ningdu Catchment.
Journal ArticleDOI
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods.
Wei Chen,Yang Li,Weifeng Xue,Himan Shahabi,Shaojun Li,Haoyuan Hong,Haoyuan Hong,Xiaojing Wang,Huiyuan Bian,Shuai Zhang,Biswajeet Pradhan,Baharin Bin Ahmad +11 more
TL;DR: The results indicated that the RF method is an efficient and reliable model in flood susceptibility assessment, with the highest AUC values, positive predictive rate, negative predictive rates, specificity, and accuracy for the training and validation datasets.
Journal ArticleDOI
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.
Dieu Tien Bui,Nhat-Duc Hoang,Francisco Martínez-Álvarez,Phuong Thao Thi Ngo,Pham Viet Hoa,Tien Dat Pham,Pijush Samui,Romulus Costache +7 more
TL;DR: It could be concluded that the proposed hybridization of GIS and deep learning can be a promising tool to assist the government authorities and involving parties in flash flood mitigation and land-use planning.
Journal ArticleDOI
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam,Swapan Talukdar,Susanta Mahato,Sonali Kundu,Kutub Uddin Eibek,Quoc Bao Pham,Alban Kuriqi,Nguyen Thi Thuy Linh +7 more
TL;DR: The methodology and solution-oriented results presented in this paper will assist the regional as well as local authorities and the policy-makers for mitigating the risks related to floods and also help in developing appropriate mitigation measures to avoid potential damages.
Journal ArticleDOI
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Wei Chen,Mahdi Panahi,Paraskevas Tsangaratos,Himan Shahabi,Ioanna Ilia,Somayeh Panahi,Shaojun Li,Abolfazl Jaafari,Baharin Bin Ahmad +8 more
TL;DR: The proposed novel approach, which combines expert knowledge, neuro-fuzzy inference systems and evolutionary algorithms, can be applied for land use planning and spatial modeling of landslide susceptibility.
References
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Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
E.H. Mamdani,S. Assilian +1 more
TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
Posted Content
A New Metaheuristic Bat-Inspired Algorithm
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.
Journal ArticleDOI
Biogeography-Based Optimization
TL;DR: This paper discusses natural biogeography and its mathematics, and then discusses how it can be used to solve optimization problems, and sees that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO).
Book ChapterDOI
A New Metaheuristic Bat-Inspired Algorithm
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.