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Using Functions from Fuzzy Classes of k-valued Logic for Decision Making Based on the Results of Rating Evaluation

Olga Poleshchuk
2018 Journal of Automation, Mobile Robotics & Intelligent Systems  
IIn this paper we present an approach based on logic functions with fuzzy conditions for constructing a decision support system for rating evaluation of objects.  ...  This approach provides an effective and efficient way for separating rating marks into clusters, associated with a control effect directed at a successful functionality of objects in future.  ...  This paper proposed an approach to decision making on rating points using functions from fuzzy classes of the k -valued logic.  ... 
doi:10.14313/jamris_4-2017/38 fatcat:5yggc24tgjd5rmxclyatav5gba

Research on Innovating and Applying Fuzzy Logic for Routing Technique in Service Oriented Routing

Nguyen Thanh Long
2015 Internet of Things and Cloud Computing  
Fuzzy logic is a logical field studies evaluating the accuracy of the results based on the approximation of the components involved, make decisions based on many factors relative accuracy based on experimental  ...  Each component of the logical expression is usually belong to one set of defined unclear (fuzzy set).  ...  into a value of result in number format; 3) This number can be used to get decisions based on some membership functions for fuzzy output variable. f) Calculate fuzzy output result of FIS: 1) With one  ... 
doi:10.11648/j.iotcc.s.2015030601.16 fatcat:udalrk2lyfdadbciit5dvqjy5i

Application of fuzzy logic into process of decision making regarding selection of managers

Zvonko Sajfert
2012 African Journal of Business Management  
This paper exemplifies the possibility of applying fuzzy logic into the process of decision making regarding the selection of executive managers.  ...  This paper discusses the process of making an optimal -preferential decision (choice of an optimal manager for leading positions in a company) by application of fuzzy logic and a fuzzy system.  ...  By modelling of fuzzy logic systems and training of the neuro-fuzzy model, very powerful tools for decision making, based on experiential knowledge of the officers of the Armed Forces of Serbia, are created  ... 
doi:10.5897/ajbm11.1500 fatcat:zbywe56tlrhovmj4js6bbvjpyq

Towards an ideal service QoS in fuzzy logic-based adaptation planning middleware

Mounir Beggas, Lionel Médini, Frederique Laforest, Mohamed Tayeb Laskri
2014 Journal of Systems and Software  
Utility functions or rules are most often used to make the adaptation planning or decision (i.e. select the best adapted variant for each required service).  ...  Utility functions or rules are most often used to make the adaptation planning or decision (i.e. select the best adapted variant for each required service).  ...  In Section 6, we present the proposed approach for adaptation planning based on fuzzy logic. Section 7 provides experimental results and evaluates the efficiency of the proposed approach.  ... 
doi:10.1016/j.jss.2013.07.023 fatcat:vkjoxlpwwbhf5klyibehacoh3a

A fuzzy approach for network bandwidth management

Julija Asmuss, Gunars Lauks
2013 Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology  
We present a methodology of decision making on network bandwidth allocation based on fuzzification and defuzzification principles and the expert knowledge database of fuzzy rules and we describe a fuzzy  ...  logic based modification of the adaptive bandwidth allocation mechanism to optimize decision making under uncertain network conditions.  ...  as well as to accomplish the practical realization of the classic and fuzzy logic based decision making systems under identical conditions to make a further comparison of produced results.  ... 
doi:10.2991/eusflat.2013.108 dblp:conf/eusflat/AsmussL13 fatcat:i7n2x7fhbrfnpmls7ke6twfaku

Feedback-based learning for self-managed network elements

Panagis Magdalinos, Apostolos Kousaridas, Panagiotis Spapis, Giorgos Katsikas, Nancy Alonistioti
2011 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops  
In this paper, a novel learning scheme is proposed based on the networkwide collected performance experience, targeting the enhancement of network elements' decision making engine.  ...  Autonomic network management systems will operate in a volatile network environment; thus they should be able to continuously adapt their decision making mechanism through learning from the behavior of  ...  In this paper we focus on enhancing the quality of a fuzzy logic-based decision making engine. The latter is accomplished through a two step procedure.  ... 
doi:10.1109/inm.2011.5990651 dblp:conf/im/MagdalinosKSKA11 fatcat:rjjputcfcjgmxpgo2fr2occl3m

A Survey on Building an Effective Intrusion Detection System (IDS) using Machine Learning Techniques, Challenges and Datasets

Arvind T
2020 International Journal for Research in Applied Science and Engineering Technology  
This paper aims on surveying various IDS techniques and presenting a brief description of IDS, Datasets and machine learning approach for its implementation.  ...  There were many Instrusion Detection Systems(IDSs) proposed in the past by various researchers.  ...  They used C 4.5 decision tree for decision making along with the fuzzy rough set theory.  ... 
doi:10.22214/ijraset.2020.30598 fatcat:o235zdwdtrgqpb75xuyg7n7suu

Hyperspherical possibilistic fuzzy c-means for high-dimensional data clustering

Yang Yan, Lihui Chen
2009 2009 7th International Conference on Information, Communications and Signal Processing (ICICS)  
On the other hand with large amount of uncertainty, the stock attributes and classes are not included simultaneously with the conditional probabilistic (i.e., Fuzzy set) distributional functions.  ...  Rapid changes in the stock exchange market with high dimensional uncertain data make the investors to look for effective forecasting using prediction mining techniques.  ...  The Type-2 fuzzy clustered logic distribution function is described as, Based on the conditional probabilistic, fuzzy clustered logic distribution function is evaluated in (5 Ant rule starts with empty  ... 
doi:10.1109/icics.2009.5397538 fatcat:eubclhtlqndpdj3uzmxjqxmdhq

Fuzzy Measures Acquisition Methods

Amol Wagholikar, Peter Deer
2007 Engineering Letters  
Fuzzy measures are monotonic set functions used for modelling strength of coalition of criteria in multicriteria decision-making. However, the practical application of fuzzy measures is difficult.  ...  We extend the state-of-art by proposing similarity-based methods for fuzzy measure acquisition.  ...  ACKNOWLEDGMENT We would like to thank School of Information and Communication Technology, Griffith University for giving all kind of support to undertake this research.  ... 
dblp:journals/engl/WagholikarD07 fatcat:6jovagk2mrasppwcfv6huyqgxi

A Fruit Detecting and Grading System Based on Image Processing-Review

Ms. Seema Banot, Dr. Mahajan P.M.
2016 IJIREEICE  
This work aimed to study different types of algorithms used for quality grading to developed an algorithm for detecting and sorting of fruit from the acquire image.  ...  This work presents a literature review study for fruit detecting and grading system based on image processing techniques.  ...  The software code is developed for the image processing part like the segmentation of colors, the calculation of the mean color intensity based on RGB color model and the decision making process using  ... 
doi:10.17148/ijireeice.2016.4112 fatcat:2klvozywznemxbmpibay3x4fci

Epileptic Seizure Prediction using Statistical Behavior of Local Extrema and Fuzzy Logic System

Hamid Niknazar, Keivan Maghooli, Ali Motie Nasrabadi
2015 International Journal of Computer Applications  
In this study, we propose a fuzzy logic system to predict epileptic seizures by using statistical behavior of local extrema (SBLE) features and a rule-based fuzzy system.  ...  Second approach is leave one out (LOO) technique to evaluate generalizability of the method.  ...  Decision Making By using one-hour interictal data of training dataset output of fuzzy system O tr is obtained.  ... 
doi:10.5120/19799-1578 fatcat:z22kv2m4pjfltfgjzrhfkexhk4

A fuzzy intelligent system for land consolidation – a case study in Shunde, China

J. Wang, A. Ge, Y. Hu, C. Li, L. Wang
2015 Solid Earth  
The results of this estimation system are significant for informing decision-making in land consolidation.</p>  ...  A fuzzy integral based on a fuzzy measure is a type of fusion tool. The optimal solution with the fewest non-zero elements was obtained for the fuzzy measure by solving a fuzzy integral.  ...  After 391 selecting the indexes, we built a fuzzy intelligent system was built based on a fuzzy decision tree 392 for land potential evaluation; this system can be used to divide the consolidated blocks  ... 
doi:10.5194/se-6-997-2015 fatcat:pwn76bsuerchlcyodzuymz3rqi

Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic

Mohammed Benamina, Baghdad Atmani, Sofia Benbelkacem
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
Levashenko and Zaitseva [26] proposed a decision support system based on fuzzy logic for the diagnosis of oncology diseases.  ...  , we applied k-nearest neighbours (k-NN), decision tree and our fuzzy decision tree for cases retrieval (FDT4CR) on the same case base.  ... 
doi:10.9781/ijimai.2018.02.001 fatcat:leiqk2ep6jhynlsgxwus2kwrdi

Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices

Mohammad Hassan Sadeghiravesh, Hassan Khosravi, Azam Abolhasani, Marzieh Ghodsi, Amirhosein Mosavi
2021 Acta Polytechnica Hungarica  
So, it is essential to assess the ways to give zoning based on logic, active principles, and theoretical foundation for the management of desert regions.  ...  The Bonissone method in the framework of the Fuzzy Multiple Attribute Decision Making (FMADM) method was used to combine indices and determine desertification intensity in each working unit.  ...  Acknowledgment Authors would like to thank the International Desert Research Center, University of Tehran. Support of the Alexander von Humboldt Foundation is acknowledged.  ... 
doi:10.12700/aph.18.3.2021.3.1 fatcat:rasktbceenayhn4ypt75hafk6m

An Extended Fuzzy PROMETHEE based on Fuzzy Rule based System for Supplier Selection Problem

Amin Mahmoudi, Soheil Sadi-Nezhad, Ahmad Makui
2015 Indian Journal of Science and Technology  
Methods/Statistical Analysis: The aim of this paper is to solve SSP under group decision making and fuzzy environment.  ...  To do so, as main contribution of this paper, a hybrid approach which employs both Fuzzy Rule Based System (FRBS) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), is proposed  ...  Hashemian, et al. 38 proposed a hybrid fuzzy group decision-making approach for supplier evaluation based on fuzzy AHP and fuzzy PROMETHEE under group decision making.  ... 
doi:10.17485/ijst/2015/v8i1/84225 fatcat:w4izopvw3bcxve435626mhftxq
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