Open Access
MULTI-VARIANT DECISION SUPPORT E‐SYSTEM FOR DEVICE AND KNOWLEDGE BASED INTELLIGENT RESIDENTIAL ENVIRONMENT
Author(s) -
Jurga Naimavičienė,
Artûras Kaklauskas,
Andrius Gulbinas
Publication year - 2007
Publication title -
technological and economic development of economy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 47
eISSN - 2029-4921
pISSN - 2029-4913
DOI - 10.3846/13928619.2007.9637816
Subject(s) - intelligent decision support system , computer science , intelligent agent , intelligent environment , automation , ambient intelligence , home automation , order (exchange) , human–computer interaction , artificial intelligence , telecommunications , business , engineering , embedded system , finance , mechanical engineering
Intelligent housing is a novelty in Lithuania yet. Such housing is not popular in our country. Specialists of automation claim that such situation occurred not only because people lack knowledge but also because the concept of intelligent housing is interpreted erroneously (most people think that remotely controlled door of garage, for instance, makes their housing intelligent). Intelligent helpers started to emerge in households only recently. Intelligent ambient assisted environment model, created by authors, helps to evaluate intelligent ambient assisted environment by social, cultural, political, legal, economical, technological and environmental factors analysis. Basing on this model also ambient assisted environment supply and demand as well as various criteria evaluation, the system able to select the best intelligent devices alternatives accordingly to each family needs was created. Through analysis of separate parts of an existing household, it is possible to distinguish intelligent devices that I study, ie intelligent lock, intelligent robot‐cleaner, intelligent infant respiratory monitor, intelligent sentinel and intelligent keyboard. Users of intelligent devices are families of young people, who want to save time and who appreciate convenience and innovations. Advantages and benefits of devices used by families of young people are being analysed. In order to provide the best guarantee for rational selection of variants of intelligent devices, decisions must be based on the system of criteria which describes variants of intelligent devices, the decision Support system must reflect consumer requirements to the best possible extent, and the data provided in the system must be real and updated easily. Computer and internet technologies, multi‐variant evaluation methods as well as principles and requirements applicable to favourable residential environment are combined to achieve this goal.