Populating Knowledge Based Decision Support Systems

2010 ◽  
Vol 2 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Ignacio García-Manotas ◽  
Eduardo Lupiani ◽  
Francisco García-Sánchez ◽  
Rafael Valencia-García
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Support Systems ◽  
Knowledge Bases ◽  
Organizational Decision Making ◽  
Knowledge Based ◽  
Financial Domain

Knowledge-based decision support systems (KBDSS) hold up business and organizational decision-making activities on the basis of the knowledge available concerning the domain under question. One of the main problems with knowledge bases is that their construction is a time-consuming task. A number of methodologies have been proposed in the context of the Semantic Web to assist in the development of ontology-based knowledge bases. In this paper, we present a technique for populating knowledge bases from semi-structured text which take advantage of the semantic underpinnings provided by ontologies. This technique has been tested and evaluated in the financial domain

Populating Knowledge Based Decision Support Systems

2012 ◽  
pp. 1-20
Author(s):  
Ignacio García-Manotas ◽  
Eduardo Lupiani ◽  
Francisco García-Sánchez ◽  
Rafael Valencia-García
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Support Systems ◽  
Knowledge Bases ◽  
Organizational Decision Making ◽  
Knowledge Based ◽  
Financial Domain

Knowledge-based decision support systems (KBDSS) hold up business and organizational decision-making activities on the basis of the knowledge available concerning the domain under question. One of the main problems with knowledge bases is that their construction is a time-consuming task. A number of methodologies have been proposed in the context of the Semantic Web to assist in the development of ontology-based knowledge bases. In this paper, we present a technique for populating knowledge bases from semi-structured text which take advantage of the semantic underpinnings provided by ontologies. This technique has been tested and evaluated in the financial domain

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

scholarly journals Towards the Realization of an Integrated Decision Support Environment for Organizational Decision Making

2009 ◽  
Vol 1 (4) ◽  
pp. 38-58 ◽  
Author(s):  
Shaofeng Liu ◽  
Alex H.B. Duffy ◽  
Robert Ian Whitfield ◽  
Iain M. Boyle ◽  
Iain McKenna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Information Exchange ◽  
Support Systems ◽  
Dynamic Environment ◽  
Organizational Decision Making ◽  
Decision Tools ◽  
Collaborative Working ◽  
Consistent Information

Traditional decision support systems are based on the paradigm of a single decision maker working at a standalone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This article proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re-configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi-tier integration framework for consistent information exchange and sharing, seamless process co-ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations.

scholarly journals DECISION CONCEPTS

2014 ◽  
pp. 18-22
Author(s):  
Miki Sirola
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Production Planning ◽  
Support Systems ◽  
Detailed Examination ◽  
Decision Models ◽  
Decision Science ◽  
Knowledge Based

Decision making is done in many application areas. Still most studies are done in such fields as economy and production planning. In methodologies used there exists more variation. This paper reviews the decision concepts discussed in the literature. Also some decision models by the author are commented. The field and practise in decision science is summarized. Although decision support systems are the final results of many projects, they are mostly based on the decision concepts behind the studies that deserve also more detailed examination. Decision analysis approach and knowledge-based technologies are examples of commonly used concepts.

The Implementation of Large-Scale Decision-Making Support Systems

2010 ◽  
pp. 1071-1083
Author(s):  
Manual Mora ◽  
Ovsei Gelman ◽  
Guisseppi Forgionne ◽  
Francisco Cervantes
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Large Scale ◽  
Support Systems ◽  
Model Based ◽  
Knowledge Based ◽  
Decision Making Support

This article reviews the literature-based issues involved in implementing large-scale decision-making support systems (DMSSs). Unlike previous studies, this review studies holistically three types of DMSSs (model-based decision support systems, executive-oriented decision support systems, and knowledge-based decision support systems) and incorporates recent studies on the simulation of the implementations process. Such an article contributes to the literature by organizing the fragmented knowledge on the DMSS implementation phenomenon and by communicating the factors and stages involved in successful or failed large-scale DMSS implementations to practitioners.

Towards the Realization of an Integrated Decision Support Environment for Organizational Decision Making

2010 ◽  
pp. 1590-1611
Author(s):  
Shaofeng Liu ◽  
Alex H.B. Duffy ◽  
Robert Ian Whitfield ◽  
Iain M. Boyle ◽  
Iain McKenna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Information Exchange ◽  
Support Systems ◽  
Dynamic Environment ◽  
Organizational Decision Making ◽  
Decision Tools ◽  
Collaborative Working ◽  
Consistent Information

Traditional decision support systems are based on the paradigm of a single decision maker working at a standalone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This article proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re-configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi-tier integration framework for consistent information exchange and sharing, seamless process co-ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations.

The Implementation of Large-Scale Decision-Making Support Systems

2011 ◽  
pp. 455-465 ◽  
Author(s):  
Manual Mora ◽  
Ovsei Gelman ◽  
Guisseppi Forgionne ◽  
Francisco Cervantes
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Large Scale ◽  
Support Systems ◽  
Model Based ◽  
Knowledge Based ◽  
Decision Making Support

This article reviews the literature-based issues involved in implementing large-scale decision-making support systems (DMSSs). Unlike previous studies, this review studies holistically three types of DMSSs (model-based decision support systems, executive-oriented decision support systems, and knowledge-based decision support systems) and incorporates recent studies on the simulation of the implementations process. Such an article contributes to the literature by organizing the fragmented knowledge on the DMSS implementation phenomenon and by communicating the factors and stages involved in successful or failed large-scale DMSS implementations to practitioners.

A Conceptual Model for Knowledge Marts for Decision Making Support Systems

2012 ◽  
Vol 4 (4) ◽  
pp. 24-38 ◽  
Author(s):  
Hayden Wimmer ◽  
Guisseppi Forgionne ◽  
Roy Rada ◽  
Victoria Yoon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Decision Support Systems ◽  
Conceptual Model ◽  
Support Systems ◽  
Specific Knowledge ◽  
Knowledge Based ◽  
Knowledge Support ◽  
Decision Making Support

This paper provides an integrated and comprehensive conceptual framework for knowledge based decision making support systems. Previous research has focused primarily on general decision support systems. The paper extends the previous work by presenting a framework to support specific decisions using knowledge marts that contain decision pertinent knowledge. A proposed methodology to test the effectiveness of this new model is proposed. The model presented provides much more specific knowledge support than previous systems.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

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