Decision Support Systems from the Standpoint of Knowledge Representation

1995 ◽  
Vol 34 (01/02) ◽  
pp. 202-208 ◽  
Author(s):  
M. Fieschi ◽  
G. Chatellier ◽  
P. Degoulet
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Medical Decisions ◽  
Knowledge Representations ◽  
Cooperative Agents ◽  
Level Model ◽  
Points Of View ◽  
Selection Of

Abstract:Relationships between decision-support systems and knowledge representation are examined from three different points of view: the characteristics of medical decisions that might influence the selection of appropriate knowledge representations, – the extent to which different knowledge representations can support efficient medical decisions and, – the validation of knowledge hypotheses through the practice of decision support systems. A three-level model of knowledge representation is proposed that includes a contextual, a conceptual and a computational level. Taking into consideration the context that leads to the selection of a given representation raises the issue of multiexpertise and multirepresentation modeling. Implementation of decision support systems as sets of cooperative agents and integration in the health information systems are considered.

scholarly journals Decision Support, Knowledge Representation and Management: A Balancing Act between Clinical Use and Implementation of Sophisticated Reasoning Techniques?

2007 ◽  
Vol 16 (01) ◽  
pp. 87-89
Author(s):  
B. Brigl ◽  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Clinical Use ◽  
Clinical Environments ◽  
Complex Decision ◽  
The One ◽  
Selection Of

SummaryTo position the papers selected for the IMIA Yearbook 2007 in the context of current research in decision support, knowledge representation and management.Synopsis of the articles selected for the IMIA Yearbook 2007.In the Yearbook 2007 the best paper selection of the section Decision support, Knowledge management in Representation’ shows, that the evaluation of the influence of decision support on medical behavior and outcome is as important as research on new reasoning technologies and methods.The best paper selection process shows on the one hand that there is still a deep gap between rather small decision support solutions successfully evaluated in clinical environments and more complex decision support systems using sophisticated reasoning techniques, but lack of clinical use. On the other hand the implementation of decision support systems today benefits from research done in the last decades.

Decision Support for Mental Health

2014 ◽  
Vol 4 (2) ◽  
pp. 53-65
Author(s):  
Jan Kalina ◽  
Jana Zvárová
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Making Process ◽  
Basic Principles ◽  
Points Of View ◽  
Concept Of Information ◽  
Based Medicine ◽  
General Perspective

Decision support systems represent an important tool offering assistance with the decision making process in a variety of applications. This paper starts with recalling the basic principles and structure of decision support systems in medicine from a general perspective. Their effect in terms of both potential and limitations for finding the diagnosis, prognosis and therapy are overviewed from the points of view of health care effectiveness and patient safety. The authors are particularly interested in the specialty field of psychiatry. They discuss its specific challenges and analyze the slower penetration of telemedicine tools to psychiatry compared to other clinical fields. Finally, they claim that the development of decision support systems play a key role in the development of the concept of information-based medicine in general as well as to the particular context of information-based psychiatry.

scholarly journals Seleksi Penyerang Utama Menggunakan K-Means Clustering Dan Sistem Pendukung Keputusan Metode Topsis

2017 ◽  
Vol 2 (1) ◽  
pp. 37-48
Author(s):  
Renenata Ardilesmana Siregar
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Ideal Solution ◽  
Major Player ◽  
The Right ◽  
Selection Of ◽  
The Ideal

Untuk  menentukan penyerang ideal dalam sepak bola agar sesuai karakter dan kriteria yang diharapkan,  diperlukan  pelatih  yang  mempunyai naluri  tajam  dan  juga  sistem  yang  bisa membantu pelatih dalam memberikan pilihan. Biasanya dalam proses penentuan pemain masih dilakukan  secara  manual dengan melihat dari karakter dan kriteria dari pemain tersebut. Tetapi terkadang hanya dengan melihat dari karakter dan kriteria dari pemain tersebut saja masih kurang cukup sehingga jauh dari apa yang diharapkan. Untuk  mempermudah dalam pemilihan penyerang ideal, maka diperlukan suatu sistem yang dapat membantu pelatih untuk  memilih penyerang yang dibutuhkan sesuai dengan kebutuhan tim yaitu dengan menggunakan teknik K-Means Clustering dalam metode data mining sebagai proses dalam menyeleksi pemain untuk bergabung  dalam  suatu  tim  dan  juga  didukung  dengan  metode  Sistem  Pendukung Keputusan (Decision Support Systems) The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) sebagai proses dalam menentukan penyerang yang akan bermain sebagai pemain utama dalam tim yang menggunakan beberapa kriteria untuk  memilih pemain yang tepat. Dengan hasil penelitian ini, diharapkan dapat membantu pelatih dalam proses seleksi pemain dan dapat mengubah cara penilaian terhadap sifat subjektif agar lebih obyektif dalam pengambilan keputusan. Kata Kunci :Data Mining, K-Means Clustering, Sistem Pendukung Keputusan To  determine  the  ideal  attacker  in football to match the expected character and criteria, a  coach who has a sharp instinct and a system that can assist the coach in providing choices. Usually  in  the  process  of  determining  the  player  is  still  done  manually  by  look ing  at  the characters  and  criteria  of  the  player.  But  sometimes just by look ing at the characters and criteria of the player is still not enough so far from what is expected. To facilitate the selection of ideal attackers, a system that can help the trainer to select the attacker needed according to the needs of the team is by using K-Means Clustering technique in the method of data mining as a process in selecting players to join a team and also supported by Decision Support Systems method The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is the process of determining which attack er will play as a major player in the team using multiple criteria to select the right player. With the results of this study, it is expected to assist trainers in the selection process of players and can change the way the assessment of the subjective nature to be more objective in decision making. Keywords: Data Mining, K-Means Clustering, Decision Support System.  

scholarly journals Simulasi Seleksi Pemain Futsal Porprov Bali Menggunakan Sistem Pendukung Keputusan Untuk Meningkatkan Kesiapan Atlet (Studi Kasus : Fakultas Olahraga dan Kesehatan, Undiksha)

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ni Putu Dwi Sucita Dartini ◽  
Agus Aan Jiwa Permana ◽  
Kadek Wirahyuni
Keyword(s):  
Decision Support ◽  
Physical Education ◽  
Decision Support Systems ◽  
Support Systems ◽  
Assessment Process ◽  
Structured Problems ◽  
Selection Of

ABSTRACT<br />Based on the experience of the writers who participated in the Porprov Bali committee,<br />observations in the Futsal athlete's assessment involved more subjectivity. Subjective decisions<br />can be detrimental to many parties, especially among Futsal athletes themselves. The sports<br />branch is highly emphasized on the value of sportsmanship, so it is necessary to involve a tool to<br />help solve the problem. Decision support systems (SPK) can be used as tools that aim to reduce<br />the level of subjectivity in the assessment process for semi-structured problems. SPK is used as a<br />simulation that will be used for students majoring in physical education at the Sports and Health<br />Faculty, Undiksha to find out whether they are eligible to pass the Porprov selection. With SPK it<br />will produce more objective decisions in semi-structured situations such as determining futsal<br />athletes that can be passed to Porprov because the results of decisions issued minimize the use of<br />intuition.<br />Keywords: Selection of Futsal, Porprov Bali athletes, SPK, Semiterstructure Decisions<br />ABSTRAK<br />Berdasarkan pengalaman penulis yang ikut dalam kepanitiaan Porprov Bali secara observasi dalam<br />penilaian atlet Futsal lebih banyak melibatkan faktor subyektifitas. Keputusan yang bersifat<br />subyektif dapat merugikan banyak pihak, khususnya di kalangan atlet Futsal itu sendiri. Cabang<br />olahraga sangat ditekankan nilai sportifitas sehingga perlu dilibatkan sebuah tools (alat bantu)<br />untuk membantu memecahkan masalah tersebut. Sistem pendukung keputusan (SPK) dapat<br />digunakan sebagai tools yang vertujuan untuk menurunkan tingkat subyektifitas dalam proses<br />penilaian untuk permasalahan semiterstruktur. SPK digunakan sebagai simulasi yang akan<br />digunakan untuk mahasiswa jurusan pendidikan jasmani pada Fakultas Olahraga dan Kesehatan,<br />Undiksha untuk mengetahui apakah mereka layak untuk lolos dalam seleksi Porprov. Dengan SPK<br />akan menghasilkan keputusan yang lebih obyektif dalam situasi semiterstuktur seperti dalam<br />menentukan atlet futsal yang dapat diloloskan ke Porprov karena hasil keputusan yang dikeluarkan<br />memperkecil penggunaan intuisi..<br />Kata Kunci : Seleksi atlet Futsal, Porprov Bali, SPK, Keputusan Semiterstruktur

scholarly journals Knowledge Representation Methods for Dairy Decision Support Systems

1994 ◽  
Vol 77 (12) ◽  
pp. 3704-3715 ◽  
Author(s):  
H. Hogeveen ◽  
M.A. Varner ◽  
D.S. Brée ◽  
D.E. Dill ◽  
E.N. Noordhuizen-Staseen ◽  
...  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems

scholarly journals Implementation Of The SAW Method For Selection Of Best Operational Vehicles

2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Complex Problem ◽  
Alternative Form ◽  
Simple Additive Weighting ◽  
Selection Of

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.

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