hierarchical fuzzy model structure
Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model
... HFS-based model simply enables to logically structure the relationships among FESs, and then to apply the available past knowledge to make a final ...developed model could flexibly provide for the ...
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Alternatives weighting in analytic hierarchy process of mobile culinary recommendation system using fuzzy
... (1999). Fuzzy-AHP embeds the fuzzy theory to basic AHP that was developed by Saaty ...of fuzzy set theory and hierarchical structure ...Basically, Fuzzy AHP method represents the ...
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A Fuzzy Coherent Hierarchical Location-Allocation Model for Congested Systems
... coherent hierarchical location- allocation model for MCLP with a fuzzied queuing structure is developed for congested systems, where each demand node submits its service call to any low-level, as ...
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A hierarchical Mamdani-type fuzzy modelling approach with new training data selection and multi-objective optimisation mechanisms: A special application for the prediction of mechanical properties of alloy steels
... data-driven fuzzy modelling, named HFM-DSMO, is ...Mamdani fuzzy models considering both the accuracy (precision) and the transparency (interpretability) ...fast hierarchical clustering algorithm is ...
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LE-AGILE ASSESSMENT OF SC METRICS FOR CLUTCH PLATE PRODUCTION ORGANIZATION: PERFORMANCE MEASURED BY FUZZY BASED MODEL
... level hierarchical Lean-agile „le-agile‟ supply chain module structure has been constructed, where Fuzzy Performance Index model has been applied to assess the overall performance of clutch ...
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A Model of Marketing Strategic Alliances To Develop Long-Term Relationships for Retailing
... a model of marketing strategic alliances intended to develop long-term ...The model is meant to help retailers choose the right marketing strategic alliance partners and develop long-term ...the ...
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Risk Assessment Based on Hierarchical Fuzzy Inference and Prediction using Kalman Filter for Underground Facilities in Smart Cities
... and hierarchical fuzzy inference for risk analysis of underground ...use hierarchical fuzzy logic-based system by combining related components in a tree like ...proposed model for ...
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Incremental Hierarchical Fuzzy Model Generated from Multilevel Fuzzy Support Vector Regression Network
... known, fuzzy rule-based systems have been proposed and successfully applied to solving problems such as classification, identification, control, ...in fuzzy rule-based systems is how to reduce the total ...
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Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min
... of fuzzy method in handling the inherent uncertainties, this problem can be considered as a fuzzy multi attribute decision making (MADM) ...powerful fuzzy MADM tool for making an appropriate decision ...
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Advanced Hierarchical Fuzzy Classification Model Adopting Symbiosis Based DNA ABC Optimization Algorithm
... symbiotic structure is shown as Figure 9, where each row represents one artificial bee colony and each column represents different feature di- ...symbiotic structure considers both social evolution and ...
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Discovery of Fuzzy Hierarchical Association Rules
... A number of techniques have been developed to turn data into useful knowledge. Most of the algorithms in data mining find association rules among transactions using binary values and at single concept level. However it ...
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Hierarchical Structure of Multicriteria Problems
... It is shown that any multicriteria problem can be represented by a hierarchical system of criteria. Individual properties of the object (alternative) are evaluated at the bottom level of the system, using a ...
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A Hierarchical Fuzzy Linear Regression Model for Forecasting Agriculture Energy Demand: A Case Study of Iran
... prediction model of energy demand of agriculture sector in Iran. A fuzzy-based approach is applied for the agriculture energy demand forecasting using socio-economic ...a fuzzy linear regression ...
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Learning Hierarchical Structures On The Fly with a Recurrent Recursive Model for Sequences
... their structure isn’t computed on-the-fly, while read- ing the ...Our model yields test per- plexity of ...explicit hierarchical structures for language mod- eling, although challenging, may be ...
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A Parameter based Routing for Highly Reliable Data Transfer to Balanced Energy Consumption in WSN's
... A distributed approach for constructing Hierarchical structure and a routing protocol on the top of the proposed hierarchical structure that incorporate bsleep sche[r] ...
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A Model Based Metaheuristic for Hybrid Hierarchical Community Structure in Social Networks
... their hierarchical relationships. Most of the existing hierarchical algorithms proposed for communities detection are based on either agglomerative or divisive ...agglomerative hierarchical ...
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Interpretability indices for hierarchical fuzzy systems
... As an initial step, in this paper, we extend the Nauck and Fuzzy indices by proposing a general extension for such in- dices from FLSs to HFSs. We refer to the general extension as HFSi. By considering the ...
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Service innovation in sustainable product service systems: improving performance under linguistic preferences
... Bartolomeo et al. (2003) indicated that firms also do not have a common understanding regarding life-cycle costs, which challenges them when attempting to recognize potential economic benefits., Mont and Plepys (2008) ...
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Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator
... uncertainties. Fuzzy Logic Controller can very well describe the desired system behavior with simple “if-then” relations owing the designer to derive “if-then” rules manually by trial and ...while ...
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Cost Optimized Hybrid System in Digital Advertising using Machine Learning
... This work presents cost effective solution for displaying advertisements to users on digital media. This is beneficial for all three stakeholders namely, advertiser, publisher and end users. The presented system combines ...
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