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You searched for subject:(Fuzzy set optimization). Showing records 1 – 7 of 7 total matches.

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NSYSU

1. Yeh, Chi-Yuan. Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm.

Degree: PhD, Electrical Engineering, 2011, NSYSU

 We propose a novel approach for building a type-2 neuro-fuzzy system from a given set of input-output training data. For an input pattern, a corresponding… (more)

Subjects/Keywords: SVD-based least-squares estimator; particle swarm optimization; fuzzy clustering; type reduction; Type-2 fuzzy set; type-2 neuro-fuzzy system; Karnik-Mendel algorithm

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APA (6th Edition):

Yeh, C. (2011). Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719111-163139

Chicago Manual of Style (16th Edition):

Yeh, Chi-Yuan. “Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm.” 2011. Doctoral Dissertation, NSYSU. Accessed June 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719111-163139.

MLA Handbook (7th Edition):

Yeh, Chi-Yuan. “Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm.” 2011. Web. 16 Jun 2019.

Vancouver:

Yeh C. Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm. [Internet] [Doctoral dissertation]. NSYSU; 2011. [cited 2019 Jun 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719111-163139.

Council of Science Editors:

Yeh C. Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm. [Doctoral Dissertation]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719111-163139

2. Edward Hinojosa Cárdenas. Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa.

Degree: 2011, Universidade Federal de São Carlos

O objetivo deste trabalho é estudar, expandir e avaliar o uso dos algoritmos genéticos multiobjetivo e a abordagem iterativa na geração de sistemas fuzzy, mais… (more)

Subjects/Keywords: Inteligência artificial; Sistemas Fuzzy; Algoritmos genéticos; Sistemas Fuzzy-genético; CIENCIA DA COMPUTACAO; Fuzzy Systems; Multiobjective genetic algorithms; Accuracy; Interpretability; Iterative rule learning; Genetic fuzzy systems; Automatic fuzzy rule base generation; Fuzzy set optimization

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APA (6th Edition):

Cárdenas, E. H. (2011). Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=4627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cárdenas, Edward Hinojosa. “Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa.” 2011. Thesis, Universidade Federal de São Carlos. Accessed June 16, 2019. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=4627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cárdenas, Edward Hinojosa. “Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa.” 2011. Web. 16 Jun 2019.

Vancouver:

Cárdenas EH. Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa. [Internet] [Thesis]. Universidade Federal de São Carlos; 2011. [cited 2019 Jun 16]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=4627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cárdenas EH. Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa. [Thesis]. Universidade Federal de São Carlos; 2011. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=4627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

3. Ding, Yi. A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems.

Degree: MS, Industrial Engineering, 2002, North Carolina State University

 Tolerance is believed to be unavoidable and necessary in engineering design and manufacturing due to universal randomness. The Tolerance Analysis and Parameter Design problems are… (more)

Subjects/Keywords: Tolerance Analysis; Fuzzy set; Optimization; Parameter Design Problem

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APA (6th Edition):

Ding, Y. (2002). A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ding, Yi. “A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems.” 2002. Thesis, North Carolina State University. Accessed June 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/1144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ding, Yi. “A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems.” 2002. Web. 16 Jun 2019.

Vancouver:

Ding Y. A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems. [Internet] [Thesis]. North Carolina State University; 2002. [cited 2019 Jun 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ding Y. A New Fuzzy Set Approach to the Tolerance Analysis and Parameter Design Problems. [Thesis]. North Carolina State University; 2002. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Frank, Christopher Pierre. A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles.

Degree: PhD, Aerospace Engineering, 2016, Georgia Tech

 Recent technological developments have resulted in the emergence of new advanced vehicles such as suborbital vehicles and personal air vehicles that have opened up new… (more)

Subjects/Keywords: Design space exploration; Multi-objective optimization; Decision-making; Conceptual design; Evolving requirements uncertainty; Robust design; Fuzzy set theory; Suborbital vehicles; Rocket engines; Safety evaluation; Life-cycle cost estimation

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APA (6th Edition):

Frank, C. P. (2016). A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55628

Chicago Manual of Style (16th Edition):

Frank, Christopher Pierre. “A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles.” 2016. Doctoral Dissertation, Georgia Tech. Accessed June 16, 2019. http://hdl.handle.net/1853/55628.

MLA Handbook (7th Edition):

Frank, Christopher Pierre. “A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles.” 2016. Web. 16 Jun 2019.

Vancouver:

Frank CP. A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1853/55628.

Council of Science Editors:

Frank CP. A design space exploration methodology to support decisions under evolving uncertainty in requirements and its application to advanced vehicles. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55628


Georgia Tech

5. Kentel, Elçin. Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management.

Degree: PhD, Civil and Environmental Engineering, 2006, Georgia Tech

 Real-world problems especially the ones that involve natural systems are complex and they are composed of many non-deterministic components. Uncertainties associated with these non-deterministic components… (more)

Subjects/Keywords: Decision making; Optimization; Fuzzy set theory; Groundwater resources management; Health risk assessment

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APA (6th Edition):

Kentel, E. (2006). Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11584

Chicago Manual of Style (16th Edition):

Kentel, Elçin. “Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management.” 2006. Doctoral Dissertation, Georgia Tech. Accessed June 16, 2019. http://hdl.handle.net/1853/11584.

MLA Handbook (7th Edition):

Kentel, Elçin. “Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management.” 2006. Web. 16 Jun 2019.

Vancouver:

Kentel E. Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1853/11584.

Council of Science Editors:

Kentel E. Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11584


North Carolina State University

6. Wu, Xinmin. (Q,r) Inventory Policies under Uncertain Supply Chain Environment.

Degree: PhD, Operations Research, 2008, North Carolina State University

 In the first part, we develop a (Q,r) model based on fuzzy-set representations of various sources of uncertainty in the SC. Sources of risk and… (more)

Subjects/Keywords: Risk; Optimization; Inventory; (Q-r) system; Fuzzy set; Supply Chain Management; Simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, X. (2008). (Q,r) Inventory Policies under Uncertain Supply Chain Environment. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4318

Chicago Manual of Style (16th Edition):

Wu, Xinmin. “(Q,r) Inventory Policies under Uncertain Supply Chain Environment.” 2008. Doctoral Dissertation, North Carolina State University. Accessed June 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4318.

MLA Handbook (7th Edition):

Wu, Xinmin. “(Q,r) Inventory Policies under Uncertain Supply Chain Environment.” 2008. Web. 16 Jun 2019.

Vancouver:

Wu X. (Q,r) Inventory Policies under Uncertain Supply Chain Environment. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Jun 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4318.

Council of Science Editors:

Wu X. (Q,r) Inventory Policies under Uncertain Supply Chain Environment. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4318

7. Vucetic, Dejan. Fuzzy Differential Evolution Algorithm.

Degree: 2012, University of Western Ontario

 The Differential Evolution (DE) algorithm is a powerful search technique for solving global optimization problems over continuous space. The search initialization for this algorithm does… (more)

Subjects/Keywords: Fuzzy numbers; Genetic algorithms; Differential Evolution Algorithms; Fuzzy random variables; Fuzzy Set Theory; Optimization; Water Resource Management; Civil and Environmental Engineering; Electrical and Computer Engineering; Engineering; Operations Research, Systems Engineering and Industrial Engineering

…101 xi List of Appendices Appendix A: Fuzzy Set Theory …...….91… …the less uncertain will be the initialization and, consequently, the optimization. The fuzzy… …theory is given in Appendix A. The fuzzy set theory offers unique possibilities for… …more adaptive to each optimization problem. The result of implementing fuzzy adaptive… …23 Table 2.8. The Fuzzy Rules… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vucetic, D. (2012). Fuzzy Differential Evolution Algorithm. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vucetic, Dejan. “Fuzzy Differential Evolution Algorithm.” 2012. Thesis, University of Western Ontario. Accessed June 16, 2019. https://ir.lib.uwo.ca/etd/503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vucetic, Dejan. “Fuzzy Differential Evolution Algorithm.” 2012. Web. 16 Jun 2019.

Vancouver:

Vucetic D. Fuzzy Differential Evolution Algorithm. [Internet] [Thesis]. University of Western Ontario; 2012. [cited 2019 Jun 16]. Available from: https://ir.lib.uwo.ca/etd/503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vucetic D. Fuzzy Differential Evolution Algorithm. [Thesis]. University of Western Ontario; 2012. Available from: https://ir.lib.uwo.ca/etd/503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.