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Measuring in Weighted Environments: Moving from Metric to Order Topology (Knowing When Close Really Means Close)

In: Applications and Theory of Analytic Hierarchy Process - Decision Making for Strategic Decisions

Author

Listed:
  • Claudio Garuti

Abstract

This chapter addresses the problem of measuring closeness in weighted environments (decision-making environments). This chapter show the importance of having a trustworthy cardinal measure of proximity in weighted environments. A weighted environment is a nonisotropic structure where different directions (axes) may have different importance (weight), thus there exist privilege directions. In this kind of structure, it would be very important to have a cardinal reliable index that can say the closeness or compatibility of a set of measures of one individual with respect to the group or to anyone other. Common examples of this structure are the interaction between factors in a decision-making process (system-values interaction), matching profiles, pattern recognition, and any situation where a process of measurement with qualitative variables is involved.

Suggested Citation

  • Claudio Garuti, 2016. "Measuring in Weighted Environments: Moving from Metric to Order Topology (Knowing When Close Really Means Close)," Chapters, in: Fabio De Felice & Antonella Petrillo & Thomas Saaty (ed.), Applications and Theory of Analytic Hierarchy Process - Decision Making for Strategic Decisions, IntechOpen.
    • Handle: RePEc:ito:pchaps:101672
    DOI: 10.5772/63670
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    More about this item

    Keywords

    weighted environments; measurement; compatibility; compatibility index G; order topology;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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