A knowledge-based decision support system for measuring the performance of government real estate investment

2005 ◽  
Vol 29 (4) ◽  
pp. 901-912 ◽  
Author(s):  
W.K. Wang
2010 ◽  
Vol 14 (3) ◽  
pp. 271-282 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Artūras Kaklauskas ◽  
Audrius Banaitis

The authors of this paper participated in the European Union's Sixth Framework Programme project Intelligent Cities (INTELCITIES, 2005). One of INTELCITIES's goals (on the Lithuanian side) was to develop a Real Estate's Knowledge and Device‐based Decision Support System (KDDSS‐RE). Major KDDSS ‐RE functions include creating and maintaining customer's personalized real estate objectives, preferences, and evaluation criteria; participation of various stakeholders (buyers, sellers, brokers, etc.) in joint determination of criteria (criteria system, values and weights) defining real estate; market signalling, provide device‐based data about indoor microclimates and allergens causing allergy in buildings; searching for real estate alternatives, finding alternatives and making an initial negotiation table, completing a multiple criteria analysis of alternatives, making electronic negotiations based on real calculations, determining the most rational real estate purchase variant, and completing an analysis of loan alternatives offered by certain banks. The authors of the present research have suggested the idea to integrate knowledge‐based, devices‐based and decision support systems. In order to demonstrate the integration decision support, knowledge and devices systems in the real estate sector a Real Estate's Knowledge and Devices‐based Decision Support System have been considered in the paper as an example. Santruka Šio darbo autoriai dalyvavo šeštosios bendrosios programos projekte ‘Intelektualūs miestai” (INTELCITIES). Vienas iš INTELCITIES tikslu (Lietuvoje) – sukurti žiniomis ir prietaisais pagrista nekilnojamojo turto sprendimu paramos sistema (KDDSS‐RE). Pagrindines KDDSS‐RE funkcijos yra šios: sukurti ir pletoti klientui asmeniškai pritaikytus nekilnojamojo turto tikslus, pageidavimus ir vertinimo kriterijus; ivairioms suinteresuotosioms grupems (pirkejams, pardavejams, tarpininkams ir pan.) suteikti galimybe drauge nustatyti nekilnojamaji turta apibūdinančius kriterijus (kriteriju sistema, vertes ir reikšmingumus); rinkos tyrimas, iš prietaisu gautu duomenu apie patalpu mikroklimata ir pastatuose esančius alergenus pateikimas; alternatyviu nekilnojamojo turto variantu paieška, ju radimas ir pradines derybu lenteles sudarymas, alternatyvu daugiakriterine analize, realiais skaičiavimais pagristos elektronines derybos, racionaliausio nekilnojamojo turto varianto pirkimui nustatymas ir tam tikru banku siūlomu alternatyviu paskolu variantu analize. Šio tyrimo autoriai pasiūle ideja integruoti žiniomis ir prietaisais pagristas bei sprendimu paramos sistemas. Siekiant sprendimu paramos, žiniu ir prietaisu sistemu integravima pademonstruoti nekilnojamojo turto sektoriuje, darbe nagrinejama žiniomis ir prietaisais pagrista nekilnojamojo turto sprendimu paramos sistema.


Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah

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


2016 ◽  
Vol 7 (2) ◽  
pp. 155-160
Author(s):  
Levi Jordan Halim ◽  
Ranny Ranny ◽  
P.M. Winarno

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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