FAMILY IMAGE MODEL GENERATION METHOD AND FAMILY IMAGE IDENTIFICATION METHOD

PROBLEM TO BE SOLVED: To provide a generation method for a family image model which can have a clear grasp of a family image to provide commodities and services optimal to each family, and to provide a family image identification method. SOLUTION: This family image model generation method uses a fir...

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Bibliographische Detailangaben
Hauptverfasser:	AKATSUKA KEIICHI, OHASHI SUMIKO
Format:	Patent
Sprache:	eng
Schlagworte:	BUILDING CALCULATING CEILINGS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS FLOORS GENERAL BUILDING CONSTRUCTIONS INSULATION OR OTHER PROTECTION OF BUILDINGS PHYSICS ROOFS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR WALLS, e.g. PARTITIONS
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Beschreibung
Zusammenfassung:	PROBLEM TO BE SOLVED: To provide a generation method for a family image model which can have a clear grasp of a family image to provide commodities and services optimal to each family, and to provide a family image identification method. SOLUTION: This family image model generation method uses a first data group which forms a family shape including at least one of a single person, an aged single person, a collectivity of sibs, a collectivity of sibs including a homeworker, a collectivity of persons who are not sib, a collectivity of consanguineous households, a collectivity of non-consanguineous households and a collectivity composed of consanguineous households and non-consanguineous households, and a second data group which shows family functions including domestic affairs, nursing, care, work and interaction performed by at least one of a method for performing as a family, a method that uses services and a method that uses a network and shows how to bear the family functions, combines the first data group and the second data group on the basis of fixed conditions including composition, attributes and lifestyles of the family members included in the first data group, and identifies this combination as the family image model.