Browsing by Author "John, Robert, 1955-"
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Item Metadata only Alpha-level aggregation: A practical approach to type-1 OWA operation for aggregating uncertain information with applications to breast cancer treatments.(IEEE, 2010) Zhou, Shang-Ming; Chiclana, Francisco; John, Robert, 1955-; Garibaldi, J. M.Item Metadata only An approach to type-2 fuzzy arithmetic(2003) Coupland, Simon; John, Robert, 1955-Item Metadata only Automated group decision support systems under uncertainty: trends and future research.(2008) John, Robert, 1955-; Zhou, Shang-Ming; Garibaldi, J. M.; Chiclana, FranciscoItem Metadata only Choosing membership functions of linguistic terms(2003) Garibaldi, J. M.; John, Robert, 1955-Item Metadata only Co-operation and interference in mobile robot groups(2003) Tyler, Laurence; Innocent, P. R.; John, Robert, 1955-Item Metadata only The collapsing method of defuzzification for discretised interval type-2 fuzzy sets.(Elsevier, 2009-06) Greenfield, Sarah; Chiclana, Francisco; Coupland, Simon; John, Robert, 1955-Item Metadata only The Collapsing method of defuzzification for discretised interval type-2 fuzzy sets.(2007) Greenfield, Sarah; Chiclana, Francisco; John, Robert, 1955-; Coupland, SimonItem Metadata only The collapsing method: Does the direction of collapse affect accuracy?(European Society of Fuzzy logic and Technology, 2009) Greenfield, Sarah; Chiclana, Francisco; John, Robert, 1955-Item Open Access A commentary on some of the intrinsic differences between grey systems and fuzzy systems(IEEE, 2014-10-05) Khuman, A. S.; Yang, Yingjie; John, Robert, 1955-The aim of this paper is to distinguish between some of the more intrinsic differences that exist between grey system theory (GST) and fuzzy system theory (FST). There are several aspects of both paradigms that are closely related, it is precisely these close relations that will often result in a misunderstanding or misinterpretation. The subtly of the differences in some cases are difficult to perceive, hence why a definitive explanation is needed. This paper discusses the divergences and similarities between the interval-valued fuzzy set and grey set, interval and grey number; for both the standard and the generalised interpretation. A preference based analysis example is also put forward to demonstrate the alternative in perspectives that each approach adopts. It is believed that a better understanding of the differences will ultimately allow for a greater understanding of the ideology and mantras that the concepts themselves are built upon. By proxy, describing the divergences will also put forward the similarities. We believe that by providing an overview of the facets that each approach employs where confusion may arise, a thorough and more detailed explanation is the result. This paper places particular emphasis on grey system theory, describing the more intrinsic differences that sets it apart from the more established paradigm of fuzzy system theory.Item Metadata only Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments(2008) Zhou, Shang-Ming; John, Robert, 1955-; Wang, X. Y.; Garibaldi, J. M.; Ellis, I. O.Item Open Access A comparative study of fuzzy logic controllers for autonomous robots.(2006-07-01) Coupland, Simon; Gongora, Mario Augusto; John, Robert, 1955-; Wills, K.Item Metadata only Computer aided fuzzy medical diagnosis(Elsevier, 2004-05-01) Innocent, P. R.; John, Robert, 1955-Item Metadata only Design pattern recognition by using adaptive neuro fuzzy inference system(IEEE, 2013) Alhusain, S.; Coupland, Simon; John, Robert, 1955-; Kavanagh, M.Item Metadata only Designing Generalised Type-2 Fuzzy Logic Systems using Interval Type-2 Fuzzy Logic Systems and Simulated Annealing(IEEE, 2012) Almaraashi, Majid; John, Robert, 1955-; Coupland, SimonItem Metadata only Developments in soft computing(Physica Verlag, 2001) John, Robert, 1955-; Birkenhead, Ralph, 1955-Item Metadata only Embedded interval valued fuzzy sets(2002) John, Robert, 1955-Item Metadata only Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling.(Elsevier, 2010-08) Syberfeldt, Anna; Ng, Amos H. C.; John, Robert, 1955-; Moore, Philip R.Item Metadata only The extended sup-star composition for type-2 fuzzy sets made simple(2006) John, Robert, 1955-; Mendel, Jerry M., 1938-; Carter, JennyItem Metadata only Extensions to type-1 fuzzy: type-2 fuzzy logic and uncertainty(IEEE Computational Intelligence Society, 2006) John, Robert, 1955-; Coupland, SimonItem Metadata only A fast geometric method for defuzzification of Type-2 fuzzy sets.(2008) Coupland, Simon; John, Robert, 1955-