Application of Spatial Decision Support System in Real Estate Appraisal

2012 ◽  
Vol 174-177 ◽  
pp. 3286-3290 ◽  
Author(s):  
Min Li Zhang ◽  
Guo Chao Han

After the economic crisis in 2009, the real estate market has gone through a temporary prosperity, but now it is undergoing the country’s another round of macro control. In order to comply with the national’s implementation of "one-room, one- price" policy and make second-hand housing market standardized. A comprehensive analysis of our country’s real estate prices and the latest development trends is made in this paper, besides; the analysis is based on the real estate evaluation theory. This paper presents a novel real estate estimation method based on spatial decision support system, theoretical analysis and the application of computer technology, this approach is an integration of decision support systems (DSS) and Geographic Information Systems (GIS). Meanwhile, it can make our country’s real estate evaluation more regular and scientifically.

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.


1997 ◽  
Vol 1602 (1) ◽  
pp. 101-109 ◽  
Author(s):  
João Coutinho-Rodrigues ◽  
John Current ◽  
João Climaco ◽  
Samuel Ratick

Hazardous materials (hazmat) logistics management has received increased attention in the past two decades. Important decisions in such management include the selection of sites for hazmat processing and storage, the selection of transportation routes from sources to processing facilities, and the determination of quantities of hazmat shipped over these routes. These decisions are frequently based on multiple criteria (e.g., cost, risk, equity). A personal computer–based, interactive spatial decision-support system was designed to assist decision makers with such problems. Although presented within the framework of a hazmat problem, the system’s components can be modified to analyse any multiobjective location, routing, or location-routing problem.


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