[PDF] Top 20 La renuncia : casos de autocensura en medio del conflicto
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Rough Set Approach to Multivariate Decision Trees Inducing
... All of the decision tree techniques stated above involve univariate decision trees, simply UDT [10]. That is, at each node, a split of the data is made based on the value of a single variable. In ... See full document
150
Automatic Shape Annotation Using Rough Sets and Decision Trees
... data set of records using depth-first greedy approach [15] or breadth-first approach [16] until all the data items belong to a particular ...A decision tree structure is made of root, internal ... See full document
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Rough Set Approach for Generation of Classification Rules for Malaria
... algorithms[5] decision trees [6] fuzzy set [7] . Rough set theory and the basic concept was invented by Polish logician, Professor ...of rough sets is a mathematical tool for ... See full document
8
Rough Set Approach to Development of a Knowledge-Based Expert System
... Expert systems provide an advantage when dealing with uncertainty as compared to decision trees. With decision trees, all the facts must be known to arrive at an outcome. Probability theory is ... See full document
153
A NOVEL APPROACH OF ROUGH SET ANALYSIS IN DISTRIBUTED DATA MINING
... pay careful attention to the distribution of data, computing and communication, in order to access and use them in a near optimal fashion. Distributed Data Mining (sometimes referred by the acronym DDM) considers data ... See full document
5
Rough Set Approach for the Classification of Advertisement in the Development of Business Establishment
... data set and to derive the relevant data for desired ...of rough set theory has an important role to play for knowledge discovery in data ...first approach to predict business failure started ... See full document
13
A New Method of Translating Covering Rough Set into Classical Rough Set
... T x y U x M y (8) By transposing, we get a set, for each object in this set, its minimal description containing x , that means the object x has relation with all objects in the set. and the ... See full document
16
A Rough Set Approach for Generation and Validation of Rules for Missing Attribute Values of a Data Set
... complete decision table and verify that the reduct and core find by our method is same as the reduct and core find by ROSE2 ...same rough set analysis on the incomplete information system using the ... See full document
171
Knowledge Acquisition Approach Based on Rough Set in Online Aided Decision System for Food Processing Quality and Safety
... rule set of protein quality for the final dairy products, and the experimental results include the number of sample identification, number of classification rules and matching rate of ...rule set in total ... See full document
26
Use of the Dominance Based Rough Set Approach as a Decision Aid Tool for the Selection of Development Projects in Northern Quebec
... dominance-based rough set (DRSA) approach to the selection of projects in the context of the Northern Quebec development ...research, decision makers will be able to rank municipalities ... See full document
210
A Rough Set View on Bayes Theorem
... Besides, we propose a new form of Bayes’ theorem in which the basic role is played by strength of decision rules (implications) derived from the data. The strength of decision rules is computed from the ... See full document
12
Application of Rough Set Theory as a New Approach to Simplify Dams Location
... engineering decision making and a need for high costs. In this study, a new approach in the determination of dam locations is ...the rough set mathematical theory that is a new approach ... See full document
9
Review of Classification Using Genetic Programming
... based approach for co-evolution of GP ...training set and each learner has a bid and an action where bid is the program (classifier) and action is classification ... See full document
7
Computerized adaptive test and decision trees: A unifying approach
... proposed decision trees (DTs) as an alternative to computerized adapted tests ...The decision tree is sequentially built by means of an innovative algorithmic procedure that selects the items ... See full document
177
ROUGH BIPOLAR NEUTROSOPHIC SET
... neutrosophic set theory and rough neutrosophic set theory are emerging as powerful tool for dealing with uncertainty, and indeterminate, incomlete, and inprecise ...neutrsophic set”. In the ... See full document
14
On Multigranular Rough Soft Set
... system. Rough set theory plays a vital role to solve imprecise ...multigranular rough set is an efficient tool to work on multivalued information ...Soft set theory is also deal ... See full document
13
Application of Neutrosophic Rough Set in Multi Criterion Decision Making on two universal sets
... The rough sets theory introduced by Pawlak [10] is an excellent mathematical tool for the analysis of uncertain, inconsistency and vague description of ...and rough sets are two different topics, none ... See full document
6
A Survey of Classification Methods Utilizing Decision Trees
... The C4.5 algorithm generates a decision tree for the given data by recursively dividing that data. The decision tree grows employing Depth-first strategy. The C4.5 algorithm considers all the probable ... See full document
78
Making a Decision Between the Rehabilitation and Reconstruction of Asphalt Pavements Using the Rough-Set Theory
... ideal decision on this based on the types of failures determined, takes too ...The rough-set theory is an eective tool for the analysis of information systems in a Pavement Management System (PMS) ... See full document
14
Empirical analysis of rough set categorical clustering techniques based on rough purity and value set
... Nowadays, the flexibility, business environment, uncertainty, globalization, customer behavior, security and interdependencies among the various factors of supply chain define the market trends. The non-core activities ... See full document
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