Skip to main content

Research Repository

Advanced Search

All Outputs (70)

A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation (2015)
Conference Proceeding
He, F., Qu, R., & John, R. (2015). A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation.

In this paper we investigate a multi-objective portfolio selection model with three criteria: risk, return and liquidity for investors. Non-probabilistic uncertainty factors in the market, such as imprecision and vagueness of investors’ preference an... Read More about A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation.

A simulated annealing approach to supplier selection aware inventory planning (2015)
Conference Proceeding
Turk, S., Miller, S., Özcan, E., & John, R. (2015). A simulated annealing approach to supplier selection aware inventory planning. In 2015 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/CEC.2015.7257105

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. Also, appropriate inventory management is critical to the success of a supply chain operation. In recent years, there has been a gro... Read More about A simulated annealing approach to supplier selection aware inventory planning.

Interval type-2 fuzzy sets in supplier selection (2014)
Conference Proceeding
Turk, S., John, R., & Özcan, E. (2014). Interval type-2 fuzzy sets in supplier selection. In 2014 14th UK Workshop on Computational Intelligence (UKCI). https://doi.org/10.1109/UKCI.2014.6930168

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets. Moreover, the influence o... Read More about Interval type-2 fuzzy sets in supplier selection.

Fuzzy adaptive parameter control of a late acceptance hyper-heuristic (2014)
Conference Proceeding
Jackson, W. G., Özcan, E., & John, R. I. (2014). Fuzzy adaptive parameter control of a late acceptance hyper-heuristic. In 2014 14th UK Workshop on Computational Intelligence (UKCI)

A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of t... Read More about Fuzzy adaptive parameter control of a late acceptance hyper-heuristic.

Interval-valued fuzzy decision trees with optimal neighbourhood perimeter (2014)
Journal Article
Lertworaprachaya, Y., Yang, Y., & John, R. (2014). Interval-valued fuzzy decision trees with optimal neighbourhood perimeter. Applied Soft Computing, 24, https://doi.org/10.1016/j.asoc.2014.08.060

This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of f... Read More about Interval-valued fuzzy decision trees with optimal neighbourhood perimeter.

Uncertainty representation of grey numbers and grey sets (2014)
Journal Article
Yang, Y., Liu, S., & John, R. (2014). Uncertainty representation of grey numbers and grey sets. IEEE Transactions on Cybernetics, 44(9), https://doi.org/10.1109/TCYB.2013.2288731

In the literature there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper new measurements of uncertainties of grey numbers... Read More about Uncertainty representation of grey numbers and grey sets.

Interval type-2 fuzzy modelling and stochastic search for real-world inventory management (2012)
Journal Article
Miller, S., Gongora, M., Garibaldi, J., & John, R. (2012). Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Computing, 16(8), 1447-1459. https://doi.org/10.1007/s00500-012-0848-y

Real-world systems present a variety of challenges to the modeller, not least of which is the problem of uncertainty inherent in their operation. In this research, an interval type-2 fuzzy model is applied to a real-world problem, the goal being to d... Read More about Interval type-2 fuzzy modelling and stochastic search for real-world inventory management.

Quantification of perception clusters using R-fuzzy sets and grey analysis
Conference Proceeding
Khuman, A. S., Yang, Y., John, R., & Liu, S. (in press). Quantification of perception clusters using R-fuzzy sets and grey analysis.

This paper investigates the use of the R-fuzzy significance measure hybrid approach introduced by the authors in a previous work; used in conjunction with grey analysis to allow for further inferencing, providing a higher dimension of accuracy and un... Read More about Quantification of perception clusters using R-fuzzy sets and grey analysis.