This paper presents the results of applying interval and generalised type-2 fuzzy logic to robot ... more This paper presents the results of applying interval and generalised type-2 fuzzy logic to robot control. Statistical analysis indicates that the type-2 controller provides a smoother more consistent and accurate path in a wall following problem.
2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Selection of an appropriate supplier is a crucial and challenging task in the effective managemen... more 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 growing interest in the area of selection of an appropriate vendor and creating good inventory planning using supplier selection information. In this paper, we consider both of these tasks in a two-stage approach employing Interval Type-2 Fuzzy Sets (IT2FS) and Simulated Annealing (SA). In the first stage, the supplier selection problem is solved by using IT2FS for ranking the suppliers. We present an inventory model incorporating information from the first stage that captures the influence of supplier risk on the total cost of supply chain operation. In the second stage, SA is used for solving the inventory planning problem based on this model improving on both supply chain operation cost and supplier risk. In this study, we evaluated our approach using different scenarios and scalarisation techniques for SA to handle two objectives, simultaneously.
This abstract presents the initial results of exploring the notion of non-determinism in represen... more This abstract presents the initial results of exploring the notion of non-determinism in representing nursing intuition via type-2 fuzzy sets.
Modelling nursing perceptions using type-2 fuzzy sets. Find what you want from DORA: All of DORA ... more Modelling nursing perceptions using type-2 fuzzy sets. Find what you want from DORA: All of DORA This Collection. Advanced Search. DORA. DORADe Montfort University Open Research Archive. You are here: DORA Home; ...
The Greenfield-Chiclana Collapsing Defuzzifier comes in many variants, depending on the order of ... more The Greenfield-Chiclana Collapsing Defuzzifier comes in many variants, depending on the order of slice collapse. The accuracy of the fundamental variants of forward, backward, in- ward and outward, and the composite variants of forward-backward and outward right-left is compared experimentally for the discretised interval type-2 fuzzy set.
Planning resources for a supply chain is a major factor determining its success or failure. In th... more Planning resources for a supply chain is a major factor determining its success or failure. In this paper methods of solving the problem are discussed, and a proposed solution using Type-2 Fuzzy Logic (FL) and Genetic Algorithms (GAs) described. Initial experiments detailed here show that a GA is able to find good solutions to a small crisp representation of the problem, and that focusing selective pressure can help to avoid undesirable solutions.
Business process modelling methods typically fall into two camps. General methods attempt to desc... more Business process modelling methods typically fall into two camps. General methods attempt to describe the managerial activities which surround the modelling itself. Specific methods, on the other hand, tend to concentrate on the details of a particular notational approach. This paper attempts to address the needs of the modeller at the detailed level without prescribing a specific notation. This is
Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision makin... more Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. However, human experts usually tend to express their opinions or preferences in a very natural way via linguistic terms, like "important" , "very important", "good" etc.. Type-2 fuzzy sets provide an efficient way of knowledge representation for modelling linguistic terms. In order to aggregate linguistic opinions via the OWA mechanism, we propose a new type of OWA operator, termed type-2 OWA operator that is able to aggregate type-2 fuzzy sets, and therefore to aggregate the linguistic opinions or preferences in human decision making. The necessary equations for performing type-2 OWA operations on aggregating interval type-2 fuzzy sets are derived in this paper. So...
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2002
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 1998
This paper is concerned with pre-processing of data for submission to neural networks. In particu... more This paper is concerned with pre-processing of data for submission to neural networks. In particular the use of type 2 fuzzy sets to assist in this process is discussed and the results of using type 2 sets with FuzzyART is presented for clustering of radiographic tibia images. These results indicate that the approach out performs a type 1 approach, for certain tibia problems, and that the type 2 solution assisted the expert in analysing a set of images that he was unable to classify originally
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001
In this paper we describe the exploratory use of Type 2 fuzzy sets to represent the perceptions o... more In this paper we describe the exploratory use of Type 2 fuzzy sets to represent the perceptions of lung scan images by experts in order to predict pulmonary emboli using Type 2 fuzzy relations. We used a GA to find suitable parameters for the fuzzy sets so that good classification was achieved. We present preliminary results with a limited data
The modelling of real-world complex systems is an area of ongoing interest for the research commu... more The modelling of real-world complex systems is an area of ongoing interest for the research community. Real-world systems present a variety of challenges not least of which is the problem of uncertainty inherent in their operation. In this research the problem of inventory management was chosen. The goal was to discover a suitable configuration for a Simulated Annealing search with a fuzzy inventory management problem. A hybrid of a series of Simulated Annealing configurations and an Interval Type-2 Fuzzy Logic model were used to identify suitable inventory plans for a large-scale real-world problem supplied by collaborators on a Technology Strategy Board research project (ref: H0254E).
The planning of resources within a supply chain can prove to be a deciding factor in the success ... more The planning of resources within a supply chain can prove to be a deciding factor in the success or failure of an operation. This research continues the authors' previous work using an extended Interval Type-2 Fuzzy Logic supply chain model, with an Evolutionary Algorithm to search for good resource plans. A set of enhanced experiments is conducted to validate our novel approach with optimal configurations, and determine an appropriate Evolutionary Algorithm set up for the given problem.
This paper presents the results of applying interval and generalised type-2 fuzzy logic to robot ... more This paper presents the results of applying interval and generalised type-2 fuzzy logic to robot control. Statistical analysis indicates that the type-2 controller provides a smoother more consistent and accurate path in a wall following problem.
2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Selection of an appropriate supplier is a crucial and challenging task in the effective managemen... more 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 growing interest in the area of selection of an appropriate vendor and creating good inventory planning using supplier selection information. In this paper, we consider both of these tasks in a two-stage approach employing Interval Type-2 Fuzzy Sets (IT2FS) and Simulated Annealing (SA). In the first stage, the supplier selection problem is solved by using IT2FS for ranking the suppliers. We present an inventory model incorporating information from the first stage that captures the influence of supplier risk on the total cost of supply chain operation. In the second stage, SA is used for solving the inventory planning problem based on this model improving on both supply chain operation cost and supplier risk. In this study, we evaluated our approach using different scenarios and scalarisation techniques for SA to handle two objectives, simultaneously.
This abstract presents the initial results of exploring the notion of non-determinism in represen... more This abstract presents the initial results of exploring the notion of non-determinism in representing nursing intuition via type-2 fuzzy sets.
Modelling nursing perceptions using type-2 fuzzy sets. Find what you want from DORA: All of DORA ... more Modelling nursing perceptions using type-2 fuzzy sets. Find what you want from DORA: All of DORA This Collection. Advanced Search. DORA. DORADe Montfort University Open Research Archive. You are here: DORA Home; ...
The Greenfield-Chiclana Collapsing Defuzzifier comes in many variants, depending on the order of ... more The Greenfield-Chiclana Collapsing Defuzzifier comes in many variants, depending on the order of slice collapse. The accuracy of the fundamental variants of forward, backward, in- ward and outward, and the composite variants of forward-backward and outward right-left is compared experimentally for the discretised interval type-2 fuzzy set.
Planning resources for a supply chain is a major factor determining its success or failure. In th... more Planning resources for a supply chain is a major factor determining its success or failure. In this paper methods of solving the problem are discussed, and a proposed solution using Type-2 Fuzzy Logic (FL) and Genetic Algorithms (GAs) described. Initial experiments detailed here show that a GA is able to find good solutions to a small crisp representation of the problem, and that focusing selective pressure can help to avoid undesirable solutions.
Business process modelling methods typically fall into two camps. General methods attempt to desc... more Business process modelling methods typically fall into two camps. General methods attempt to describe the managerial activities which surround the modelling itself. Specific methods, on the other hand, tend to concentrate on the details of a particular notational approach. This paper attempts to address the needs of the modeller at the detailed level without prescribing a specific notation. This is
Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision makin... more Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. However, human experts usually tend to express their opinions or preferences in a very natural way via linguistic terms, like "important" , "very important", "good" etc.. Type-2 fuzzy sets provide an efficient way of knowledge representation for modelling linguistic terms. In order to aggregate linguistic opinions via the OWA mechanism, we propose a new type of OWA operator, termed type-2 OWA operator that is able to aggregate type-2 fuzzy sets, and therefore to aggregate the linguistic opinions or preferences in human decision making. The necessary equations for performing type-2 OWA operations on aggregating interval type-2 fuzzy sets are derived in this paper. So...
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2002
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 1998
This paper is concerned with pre-processing of data for submission to neural networks. In particu... more This paper is concerned with pre-processing of data for submission to neural networks. In particular the use of type 2 fuzzy sets to assist in this process is discussed and the results of using type 2 sets with FuzzyART is presented for clustering of radiographic tibia images. These results indicate that the approach out performs a type 1 approach, for certain tibia problems, and that the type 2 solution assisted the expert in analysing a set of images that he was unable to classify originally
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001
In this paper we describe the exploratory use of Type 2 fuzzy sets to represent the perceptions o... more In this paper we describe the exploratory use of Type 2 fuzzy sets to represent the perceptions of lung scan images by experts in order to predict pulmonary emboli using Type 2 fuzzy relations. We used a GA to find suitable parameters for the fuzzy sets so that good classification was achieved. We present preliminary results with a limited data
The modelling of real-world complex systems is an area of ongoing interest for the research commu... more The modelling of real-world complex systems is an area of ongoing interest for the research community. Real-world systems present a variety of challenges not least of which is the problem of uncertainty inherent in their operation. In this research the problem of inventory management was chosen. The goal was to discover a suitable configuration for a Simulated Annealing search with a fuzzy inventory management problem. A hybrid of a series of Simulated Annealing configurations and an Interval Type-2 Fuzzy Logic model were used to identify suitable inventory plans for a large-scale real-world problem supplied by collaborators on a Technology Strategy Board research project (ref: H0254E).
The planning of resources within a supply chain can prove to be a deciding factor in the success ... more The planning of resources within a supply chain can prove to be a deciding factor in the success or failure of an operation. This research continues the authors' previous work using an extended Interval Type-2 Fuzzy Logic supply chain model, with an Evolutionary Algorithm to search for good resource plans. A set of enhanced experiments is conducted to validate our novel approach with optimal configurations, and determine an appropriate Evolutionary Algorithm set up for the given problem.
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Papers by Robert John