Soft case-based reasoning

Author name used in this publication: Simon ShiuVersion of RecordPublishe

Applying case based reasoning for prioritizing areas of business management

Determining the importance of different management areas in a company provides guidance about the needs of increasing the analysis and actions focuses in particular topic. To do it, it is necessary to decompose the management in a coherent set of specific management areas and provide a way that allows the company to determine the importance of these areas for them. This paper presents a novel system that guides companies to obtain a classification of important management areas for them. It is focused on the use of a case based reasoning system because the variability and the evolution of companies as time passes requires using techniques with learning capabilities. The proposed system provides an automatic self-assessment system that provides companies an ordered list of their most important management areas. This system was implemented a year ago for the evaluation of Spanish companies. Currently, it is in production providing relevant information about the management areas of these companies

Rancangan Case-based Reasoning Menggunakan Sorenson Coefficient

Penalaran berbasis kasus (Case-Based Reasoning) untuk melakukan diagnosa penyakit berdasarkan gejala-gejala yang ada. Proses diagnosa dilakukan dengan cara memasukkan kasus baru (target case) yang berisi gejala-gejala penyakit yang akan didiagnosa, kemudian dilakukan proses similaritas antara kasus baru dengan kasus-kasus (source case) yang sudah tersimpan di dalam basis data (case-based) sistem. Kasus dengan nilai similaritas tertinggi akan diambil dan kemudian solusi dari kasus tersebut akan dijadikan solusi bagi kasus yang baru. Metode similaritas yang digunakan adalah Sorenson Coefficient. Jika suatu kasus tidak berhasil didiagnosa, maka akan dilakukan revisi kasus oleh pakar. Kasus yang berhasil direvisi akan disimpan untuk dijadikan pengetahuan baru (fresh knowledge)

Case-based reasoning: concepts, features and soft computing

Here we first describe the concepts, components and features of CBR. The feasibility and merits of using CBR for problem solving is then explained. This is followed by a description of the relevance of soft computing tools to CBR. In particular, some of the tasks in the four REs, namely Retrieve, Reuse, Revise and Retain, of the CBR cycle that have relevance as prospective candidates for soft computing applications are explained

Requirements modelling and formal analysis using graph operations

The increasing complexity of enterprise systems requires a more advanced analysis of the representation of services expected than is currently possible. Consequently, the specification stage, which could be facilitated by formal verification, becomes very important to the system life-cycle. This paper presents a formal modelling approach, which may be used in order to better represent the reality of the system and to verify the awaited or existing system’s properties, taking into account the environmental characteristics. For that, we firstly propose a formalization process based upon properties specification, and secondly we use Conceptual Graphs operations to develop reasoning mechanisms of verifying requirements statements. The graphic visualization of these reasoning enables us to correctly capture the system specifications by making it easier to determine if desired properties hold. It is applied to the field of Enterprise modelling

Динамическая сценарно-прецедентная интеллектуальная система для управления подвижными объектами

В статье рассматриваются структура и особенности реализации динамической сценарно-прецедентной системы реального времени «Муссон», предназначенной для управления подвижными объектами. Представлен подход, позволяющий снизить влияние «человеческого фактора» на качество и своевременность принятия решений оператором подвижного объекта.У статті розглядаються структура та особливості реалізації динамічної сценарно-прецедентної системи реального часу «Муссон», що призначена для управління рухомим об’єктами. Представлено підхід, який дозволяє знизити вплив «людського фактора» на якість і своєчасність ухвалення рішень оператором рухомого об’єкта.The structure and features of dynamic scenario-case real time system «Monsoon» which is designed to control the moving objects is considered in the article. The approach that reduces the influence of the «human factor» on the quality and timeliness of decision-making operator for a moving object is presented

Automated system for university timetabling

Quality of reading courses for students and pedagogical potential usage efficiency in universities depends to some extent on the level of the educational process. Scheduling courses as one of the components of this process regulates the rhythm of labor effects and affects the creative impact of instructors. The relevance of automation scheduling timetables is time consuming process, time-consuming in its drafting, as well as the need for highly qualified staff to produce high-quality schedulesКачество подготовки специалистов и эффективность использования научно-педагогического потенциала в вузах зависят в определенной степени от уровня организации учебного процесса. Расписание занятий, как одна из составляющих этого процесса, регламентирует трудовой ритм, влияет на творческую отдачу преподавателей. Актуальность автоматизации составления расписания обусловлена трудоёмкостью процесса, большими затратами времени при его составлении, а также необходимостью в использовании персонала высокой квалификации для составления качественного расписани

Klasifikasi Kelompok Penjaminan Mutu Pada Karyawan Perusahaan XYZ Dengan KNN Dan J48

– Klasifikasi kelompok penjaminan mutu, menitik beratkan pada pendampingan tim penjaminan mutu yang harus dilaksanakan pada masing-masing devisi pada Perusahaan XYZ. Klasifikasi ini diharapkan dapat membantu tim penjaminan mutu , untuk menindak lanjuti karyawan yang membutuhkan pendampingan khusus dari tim penjamin mutu, sesuai dengan yang dibutuhkan oleh masing-masing karyawan dari setiap devisi. Adapun devisi yang dimaksud adalah pada Tukang Potong Rokok, Tukang Giling Rokok, Tukang Pres Putihan, Tukan Pres Abangan,Tukang Pres Rokok Akhir, Tukang Pres Kalengan, SKM Filter Rokok, Tukang Linting Klobot, dan Tukang Pres Klobot. Bentuk pendampingan yang dilakukan adalah pendampingan karyawan mengenai loyalitas kerja, Tanggung Jawab Kerja, Kepemimpinan Kerja dan Prestasi Kerja. Klasifikasi dikerjakan dengan Microsoft Excel yang selanjunya akan di gunakan Weka sebagai tool untuk mengklasifikasi kelompok. KNN dan J48 digunakan untuk membandingkan pengklasifikasian, sehingga akan di peroleh metode mana yang paling cocok digunakan untuk mengklasifikasikan kelompok penjaminan mutu. Kata kunci – Klasifikasi, Weka, KNN, J4

Effective retrieval and new indexing method for case based reasoning: Application in chemical process design

In this paper we try to improve the retrieval step for case based reasoning for preliminary design. This improvement deals with three major parts of our CBR system. First, in the preliminary design step, some uncertainties like imprecise or unknown values remain in the description of the problem, because they need a deeper analysis to be withdrawn. To deal with this issue, the faced problem description is soften with the fuzzy sets theory. Features are described with a central value, a percentage of imprecision and a relation with respect to the central value. These additional data allow us to build a domain of possible values for each attributes. With this representation, the calculation of the similarity function is impacted, thus the characteristic function is used to calculate the local similarity between two features. Second, we focus our attention on the main goal of the retrieve step in CBR to find relevant cases for adaptation. In this second part, we discuss the assumption of similarity to find the more appropriated case. We put in highlight that in some situations this classical similarity must be improved with further knowledge to facilitate case adaptation. To avoid failure during the adaptation step, we implement a method that couples similarity measurement with adaptability one, in order to approximate the cases utility more accurately. The latter gives deeper information for the reusing of cases. In a last part, we present a generic indexing technique for the base, and a new algorithm for the research of relevant cases in the memory. The sphere indexing algorithm is a domain independent index that has performances equivalent to the decision tree ones. But its main strength is that it puts the current problem in the center of the research area avoiding boundaries issues. All these points are discussed and exemplified through the preliminary design of a chemical engineering unit operation

Perhitungan Penilaian Mahasiswa Terhadap Mengajar Dosen Berbasis Kasus Menggunakan Algoritma Bayesian

Proses belajar mengajar pada perguruan tinggi melibatkan mahasiswa dan pengajar (dosen). Mahasiswa dapat lebih termotivasi dalam belajar dan mahasiswa dapat melakukan hal-hal kreatif dan inovatif karena ada rangsangan pemikiran yang luas dari pengajar (dosen). Pengajar yang berwawasan luas dan mahasiswa yang aktif maka akan menghasilkan output belajar mengajar yang berkualitas baik. Pengajar berhak memberikan penilaian terhadap mahasiswa dengan memberikan nilai akhir pada akhir semester dan sebaliknya, mahasiswa juga berhak memberikan penilaian terhadap dosen dengan memberikan penilaian terhadap beberapa variabel dalam mengajar. Penentuan penilaian yang diperoleh dari mahasiswa akan menghasilkan keputusan tentang kualitas mengajar dosen, tergolong sangat baik, baik, cukup atau sangat kurang. Maka dari itu, dengan menggunakan algoritma bayesian diharapkan bisa menghasilkan keputusan kualitas mengajar dosen yang outputnya akan diperoleh dari pencocokan basis kasus yang pernah ada sebelumnya