1,721,048 research outputs found
Knowledge-based information systems in practice
No full textThis book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques
A decision table method for randomness measurement
No full textData quality has become a major concern for organisations. The rapid growth in the size and technology of a databases and data warehouses has brought significant advantages in accessing, storing, and retrieving information. At the same time, great challenges arise with rapid data throughput and heterogeneous accesses in terms of maintaining high data quality. Yet, despite the importance of data quality, literature has usually condensed data quality into detecting and correcting poor data such as outliers, incomplete or inaccurate values. As a result, organisations are unable to efficiently and effectively assess data quality. Having an accurate and proper data quality assessment method will enable users to benchmark their systems and monitor their improvement. This paper introduces a granules mining for measuring the random degree of error data which will enable decision makers to conduct accurate quality assessment and allocate the most severe data, thereby providing an accurate estimation of human and financial resources for conducting quality improvement tasks. \u
Temporal Perspective for the Software Testing Decision Support Framework
No full textThe development of the Decision Support Framework (DSF) for software testing provides a solid basis for assisting the software test manager in assessing the risk of achieving successful software testing. To further enhance the DSF, the DSF has been expanded beyond its static and dynamic analysis perspectives. It has been observed that any activity or process has some type of inherent temporal perspective. Thus the adding of a temporal perspective to the DSF static and dynamic analysis perspectives is a step forward. The temporal information is derived and integrated utilizing the test manager's experience and his/her software test plan. This provides an additional analysis on successful software testing and the consequences of influences that affect software testing. An explanation of why the framework needs a time perspective and other associated changes is provided. The details of the temporal perspective and the other relevant changes to the framework are described. The total decision support framework, with an integrated temporal perspective, is presented and discussed. © Springer-Verlag Berlin Heidelberg 2012
Computable analysis of linear rearrangement optimization
Full text linkOptimization problems over rearrangement classes arise in various areas such as mathematics, fluid mechanics, biology, and finance. When the generator of the rearrangement class is two-valued, they reduce to shape optimization and free boundary problems which can exhibit intriguing symmetry breaking phenomena. A robust framework is required for computable analysis of these problems. In this paper, as a first step towards such a robust framework, we provide oracle Turing machines that compute the distribution function, decreasing rearrangement, and linear rearrangement optimizers, with respect to functions that are continuous and have no significant flat zones. This assumption on the reference function is necessary, as otherwise, the aforementioned operations may not be computable. We prove that the results can be computed to within any degree of accuracy, conforming to the framework of Type-II Theory of Effectivity
Improving the efficiency of robot task planning by automatically integrating its planner and common-sense knowledge base
No full textThis chapter presents a newly developed approach for intelligently generating symbolic plans for mobile robots acting in domestic environments, such as offices and houses. The significance of this approach lies in its novel framework which consists of new modelling of high-level robot actions and their integration with common-sense knowledge in order to support robotic task planner. This framework will enable direct interactions between the task planner and the semantic knowledge base. By using common-sense domain knowledge, the task planner will take into consideration the properties and relations of objects and places in its environment, before creating semantically related actions that will represent a plan. A new module has been appended to the framework which is called Semantic Realization and Refreshment Module (SRRM). This module has the ability to discover and select entities in the robot’s world (entities related to robot plan) which are semantically equivalent or have a degree of similarity (where they don’t exceed a predefined threshold) by using techniques and standards (metrics) for similarities. SRRM supports robotic task planning to generate approximate plans to solve its tasks when there is no exact plan can be generated according to initial and goal state by extending initial state and action details with similar or equivalent objects. The extended framework enables direct interactions between task planner, Semantic Action Models (SAMs) and knowledge-base through creating planning domain (or extended planning domain) with predicates (or semantically equivalent or similar predicates) which specify domain features. The proposed framework and approach are tested on some scenarios that cover most aspects of robot planning system
Theory and Applications of Models of Computation
Full text linkWe study the Weihrauch degrees of closed choice for finite sets, closed choice for convex sets and sorting infinite sequences over finite alphabets. Our main result is that choice for finite sets of cardinality is reducible to choice for convex sets in dimension , which in turn is reducible to sorting infinite sequences over an alphabet of size , iff . Our proofs invoke Kleene's recursion theorem, and we describe in some detail how Kleene's recursion theorem gives rise to a technique for proving separations of Weihrauch degrees
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Fuzzy Sets and Systems Special Issue: Fuzzy Modeling for Optimisation and Decision Support
No full textDedicated to the Memory of Professor K. Asai and Professor H. Tanaka”International audienceThis special issue is dedicated to the memory of Professor Kiyoji Asai and Professor Hideo Tanaka, pioneers of fuzzy operational research, who passed away, successively in 2012. They had worked together for more than 20 years from the 60's on. They wrote the paper “Fuzzy Mathematical Programming” in 1974. This paper plays a pivotal role in building foundations for fuzzy mathematical programming. It is the first paper dealing with linear programming problems with fuzzy goals and constraints based on Bellman and Zadeh's fuzzy decision-making methodology. In 1982, they proposed the “Fuzzy Regression Model,” which is an innovative approach to Data Analysis with potential extensions and applications. The aim is to obtain a fuzzy regression function which can cover all the data given as samples. They formulated and solved the problem by a linear programming technique. This original idea gave a new prospective direction to fuzzy data analysis and triggered studies on extensions, generalizations and applications of fuzzy regression. Those two topics are only a part of their many significant contributions. Their seminal contributions to the fields related to fuzzy operational research are deep, and they range from philosophy to real world applications
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