Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
Information Sciences: an International Journal
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Managing risks in IT projects: an options perspective
Information and Management
Automatic generation of fuzzy rule-based models from data by genetic algorithms
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
International Journal of Approximate Reasoning
A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
A new multi-objective algorithm for a project selection problem
Advances in Engineering Software
Modified bacterial memetic algorithm used for fuzzy rule base extraction
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
International Journal of Approximate Reasoning
Using a hybrid meta-evolutionary rule mining approach as a classification response model
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A self-generating fuzzy system with ant and particle swarm cooperative optimization
Expert Systems with Applications: An International Journal
Fuzzy rule extraction by bacterial memetic algorithms
International Journal of Intelligent Systems
Particle swarm optimization with preference order ranking for multi-objective optimization
Information Sciences: an International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Ant colony and particle swarm optimization for financial classification problems
Expert Systems with Applications: An International Journal
Portfolio optimization problems in different risk measures using genetic algorithm
Expert Systems with Applications: An International Journal
A dominance tree and its application in evolutionary multi-objective optimization
Information Sciences: an International Journal
Solving a comprehensive model for multiobjective project portfolio selection
Computers and Operations Research
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
A portfolio optimization model with three objectives and discrete variables
Computers and Operations Research
Information Sciences: an International Journal
Information Sciences: an International Journal
A model of portfolio optimization using time adapting genetic network programming
Computers and Operations Research
Approximating Pareto frontier using a hybrid line search approach
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Multi-objective optimization with artificial weed colonies
Information Sciences: an International Journal
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Fuzzy system parameters discovery by bacterial evolutionary algorithm
IEEE Transactions on Fuzzy Systems
A generalized concept for fuzzy rule interpolation
IEEE Transactions on Fuzzy Systems
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Project selection is a complex decision making process that is influenced by multiple and often conflicting objectives. The complexity of the project selection problem is due to the high number of projects from which a subset (portfolio) has to be chosen. We present a hybrid fuzzy rule-based multi-objective framework for sustainable project portfolio selection. The multiple and conflicting objectives are considered as the input variables in a Fuzzy Rule-Based (FRB) system developed to estimate the overall fitness (suitability) of the potential project portfolios. A hybrid multi-objective framework integrates and synthesizes the results from a data mining model with the results from a Data Envelope Analysis (DEA) model and an Evolutionary Algorithm (EA) to design the structure of the proposed FRB system. The proposed framework simultaneously considers the accuracy maximization and the complexity minimization objectives. A Genetic Based Machine Learning (GBML) method is utilized to design an alternative FRB system for comparison purposes. The proposed framework and the GBML method are used to assess the alternative project portfolios in a real-world financial services institution. The statistical analysis shows the performance dominance of the proposed hybrid framework over the GBML method based on selected accuracy and interoperability measures.