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Affinity wall diagram. The affinity diagram is a business tool used to organize ideas and data. It is one of the Seven Management and Planning Tools.People have been grouping data into groups based on natural relationships for thousands of years; however, the term affinity diagram was devised by Jiro Kawakita in the 1960s [1] and is sometimes referred to as the KJ Method.
Affinity diagram. Affinity diagrams are a special kind of brainstorming tool that organize large amount of disorganized data and information into groupings based on natural relationships. It was created in the 1960s by the Japanese anthropologist Jiro Kawakita. It is also known as KJ diagram, after Jiro Kawakita. An affinity diagram is used when:
After completing the wall, participants "walk" the affinity diagram to stimulate new ideas and identify any remaining issues or holes in data. The affinity diagram is a bottom-up method. Consolidated data may also be used to create a cause-and-effect diagram or a set of personas describing typical users of the proposed system.
Applying these definitions to the diagram below, the goal is the parent of the four criteria, and the four criteria are children of the goal. Each criterion is a parent of the three Alternatives. Note that there are only three Alternatives, but in the diagram, each of them is repeated under each of its parents. A simple AHP hierarchy.
Commutative diagrams also are prescribed to constrain the semantics. In the social sciences people sometimes use the term semantic network to refer to co-occurrence networks. [38] [39] The basic idea is that words that co-occur in a unit of text, e.g. a sentence, are semantically related to one another. Ties based on co-occurrence can then be ...
Suitable sources are pertinent literature, commercials, manuals, specification list, experts etc. The number of the words gathered varies according to the product, typically between 100 and 1000 words. In a second step the words are grouped using manual (e.g. Affinity diagram) [3] or mathematical methods (e.g. factor and/or cluster analysis). [4]
The nominal group technique (NGT) is a group process involving problem identification, solution generation, and decision-making. [1] It can be used in groups of many sizes, who want to make their decision quickly, as by a vote, but want everyone's opinions taken into account (as opposed to traditional voting, where only the largest group is considered). [2]
Affinity analysis falls under the umbrella term of data mining which uncovers meaningful correlations between different entities according to their co-occurrence in a data set. In almost all systems and processes, the application of affinity analysis can extract significant knowledge about the unexpected trends [ citation needed ] .