KNOWLEDGE BASED DECISION SUPPORT SYSTEM FOR BUILDING REFURBISHMENT

The need to effectively integrate decision‐making tasks (such as interactive access to data and support for numerical and quantitative modelling techniques) together with the knowledge representation and visualisation tasks and inference procedures that model an expert's thought process has provoked research efforts to integrate decision support systems (DSS) with knowledge and expert systems (ES), neural networks and multimedia towards the formulation of intelligent DSS. We can analyse the intelligent DSS as a network of distributed systems (DSS, ES, neural networks, etc.) each of them facing and solving a specific problem. Under this point of view different systems can be integrated in the integrated system. Knowledge based decision support system for building refurbishment developed in Vilnius Gediminas Technical University is described in the paper in order to describe the above systems integration.

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A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management

International Journal of Information Technology & Decision Making ◽

10.1142/s021962201850030x ◽

2018 ◽

Vol 17 (05) ◽

pp. 1469-1498 ◽

Cited By ~ 2

Author(s):

Brunella Caroleo ◽

Enrico Palumbo ◽

Michele Osella ◽

Antonio Lotito ◽

Giuseppe Rizzo ◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Simulation Models ◽

Point Of View ◽

Mitigation Strategies ◽

Cascading Effects ◽

Event Time ◽

Cascading Effect ◽

Knowledge Based

This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness of crisis situations induced by natural and technological hazards. The proposed KB-DSS aims to manage the potential cascading effects generated by a triggering hazard assessing the possible event time histories based on interconnected probabilistic simulation models. From a methodological point of view, a decision model based on two Multi-Criteria Decision-Making (MCDM) algorithms follows a cascading effect simulation model. This combination allows to support the decision maker in comparing a set of mitigation strategies on the basis of their expected impacts and his priorities. The algorithm is based on an ensemble approach, which combines decisions over an array of possible impact scenarios, instead of only relying on the average impact scenario. An application of the KB-DSS to the case of a possible reactivation of Nea Kameni volcano in Santorini is presented to show how the proposed architecture could be applied to a real case. The proposed methodology supports the emergency planners in making the best decisions supporting them also in the choice of the best timing for the intervention.

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IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.905 ◽

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

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Rancang Bangun Aplikasi Penjurusan Minat Bakat Menggunakan Metode Forward Chaining

Jurnal ULTIMATICS ◽

10.31937/ti.v7i2.358 ◽

2016 ◽

Vol 7 (2) ◽

pp. 155-160

Author(s):

Levi Jordan Halim ◽

Ranny Ranny ◽

P.M. Winarno

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Multiple Intelligence ◽

Student Activities ◽

Forward Chaining ◽

Knowledge Based ◽

Activity Unit ◽

Index Terms ◽

Intelligence Scores

Plentiful choices of Student Activities Unit that offered by a campus like Multimedia Nusantara University can help students who want to choose a unit that suitable for them. The decision support system application with Forward Chaining method is built to help students choosing the Student Activity Unit that suits them. Multiple Intelligence method is used as the knowledge base at making the rules. The aspects that considered as attributes to choosing the Student Activities Unit is the initial interest and also the multiple intelligence scores that the level of conformity will be searched by using Forward Chaining method. This research has produced a knowledge-based decision support system that can help students at choosing Student Activities Unit that suitable for them with the highest accuracy of 86.67 percent. This system is designed in website with PHP and MySQL database programming language. Index Terms—Forward Chaining, Knowledge-based, Multimedia Nusantara University, Multiple Intelligence, Student Activities Unit

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