Browsing by Author "Chiclana, Francisco"
Now showing items 1-20 of 251
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Accuracy and complexity evaluation of defuzzification strategies for the discretised interval type-2 fuzzy set.
Greenfield, Sarah; Chiclana, Francisco (Article)The work reported in this paper addresses the challenge of the efficient and accurate defuzzification of discretised interval type-2 fuzzy sets. The exhaustive method of defuzzification for type-2 fuzzy sets is extremely ... -
Adapting Traffic Simulation for Traffic Management: A Neural Network Approach
Passow, Benjamin N.; Elizondo, David; Chiclana, Francisco; Witheridge, S.; Goodyer, E. N. (Conference)Static models and simulations are commonly used in urban traffic management but none feature a dynamic element for near real-time traffic control. This work presents an artificial neural network forecaster methodology ... -
Aggregation of Unbalanced Fuzzy Linguistic Information in Group Decision Problems based on Type-1 OWA Operator.
Mata, F.; Perez, L. G.; Chiclana, Francisco; Herrera-Viedma, Enrique (Conference)Information aggregation is a key task in any group decision making problem. In the fuzzy linguistic context, when comparing two alternatives, it is usually assumed that assessments belong to linguistic term sets of ... -
An alternative calculation of the consensus degree in group decision making problems
del Moral, Maria Jose; Chiclana, Francisco; Tapia Garcia, Juan Miguel; Herrera-Viedma, Enrique (Conference)In a problem of group decision-making it is desirable to obtain a solution with the highest possible degree of agreement –consensus- among the participants. For this aim, it is necessary to have tools that facilitate the ... -
An analysis of consensus approaches based on different concepts of coincidence
del Moral, Maria Jose; Tapia Garcia, Juan Miguel; Chiclana, Francisco; Al-Hmouz, A; Herrera-Viedma, Enrique (Article)Soft consensus is a relevant topic in group decision making problems. Soft consensus measures are utilized to reflect the different agreement degrees between the experts leading the consensus reaching process. This may ... -
An Analysis on Consensus Measures in Group Decision Making
del Moral, Maria Jose; Chiclana, Francisco; Tapia, Juan Miguel; Herrera-Viedma, Enrique (Conference)In Group Decision Making (GDM) problems before to obtain a solution a high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts’ opinions ... -
Analyzing Consensus Measures in Group Decision Making
Chiclana, Francisco; Tapia García, Juan Miguel; del Moral, Maria Jose; Herrera-Viedma, Enrique (Conference)In Group Decision Making (GDM) problems before to obtain a solution a high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts’ opinions ... -
Analyzing highly cited papers in Intelligent Transportation Systems
Moral-Munoz, Jose Antonio; Cobo, M. J.; Chiclana, Francisco; Collop, Andy; Herrera-Viedma, Enrique (Article)Citation classics offer an outlook on those papers that have attracted great and historical interest by a research community and that could be also considered the basis of the research field. A new approach, which is called ... -
Application of uninorms to market basket analysis
Moodley, Raymond; Chiclana, Francisco; Caraffini, Fabio; Carter, Jenny (Article)The ability for grocery retailers to have a single view of customers across all their grocery purchases remains elusive and has become increasingly important in recent years (especially in the UK) where competition has ... -
Are incomplete and self-confident preference relations better in multicriteria decision making? A simulation-based investigation
Dong, Yucheng; Liu, Wenqi; Chiclana, Francisco; Kou, Gang; Herrera-Viedma, Enrique; Herrera (Article)Incomplete preference relations and self-confident preference relations have been widely used in multicriteria decision-making problems. However, there is no strong evidence, in the current literature, to validate their ... -
ARM-AMO: An Efficient Association Rule Mining Algorithm Based on Animal Migration Optimization
Le Hoang, Son; Chiclana, Francisco; Kumar, Raghavendra; Mittal, Mamta; Khari, Manju; Chatterjee, Jyotir Moy; Baik, Sung Wook (Article)Association rule mining (ARM) aims to find out association rules that satisfy predefined minimum support and confidence from a given database. However, in many cases ARM generates extremely large number of association ... -
Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model
Ding, Zhaogang; Dong, Yucheng; Liang, Haiming; Chiclana, Francisco (Article)Nowadays, in the world, about half of the population can receive information and exchange their opinions with others in online environments (e.g. the Internet), while the other half obtain information and exchange their ... -
An attitudinal consensus degree to control feedback mechanism in group decision making with different adjustment cost
Wu, Jian; Sun, Qi; Fujita, Hamido; Chiclana, Francisco (Article)This article aims to study the influence of the group attitude on the consensus reaching process in group decision making (GDM). To do that, the attitudinal consensus index (ACI) is defined to aggregate individual consensus ... -
An attitudinal trust recommendation mechanism to balance consensus and harmony in group decision making
Wu, Jian; Li, Xue; Chiclana, Francisco; Yager, Ronal R. (Article)This article puts forward a trust based framework for building a recommendation mechanism for consensus in group decision making with interval-valued intuitionistic fuzzy information. To do that, it first presents an ...