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SANPEV: a satisficting analytic network process framework for efficiency evaluation of alternatives

Tchangani A. P.

Foundations of Computing and Decision Sciences

2006

Vol. 31, No. 3-4

291-319

The purpose of this paper is to derive a procedure to evaluate a group of alternatives or units considered as systems where a certain transformation process consums heteregenous input attributes or items (to be understood in a broad sense including effort that must be done, a negative impact, consumable resources, ...) to produce or deliver heteregenous output items (including subjective satisfaction, tangible products, beneficial impact. ...). In general, many actors with, different points of view as well as different information sources more or less reliable will be involved in the evaluation process. The evaluation context we consider here consists in stakeholders (decission makers, experts, users. ...) that give then- opinion regarding the impact of each item with, regard to the evaluation goal ; the information or data (values of items for different alternatives) about items are collected from or supplied by different more or less reliable information or data sources (news papers, magazines, web. agencies and consulting cabinets, experts. ...). The established model aims to integrate the interactions between these different components (stakeholders, items. information sources and alternatives) and consists bassically for each alternative or unit in computing two measures: an aggregated measure known as the selectability at the output of the system and an aggregated measure at the input known as the rejectability in the framework of satisficing game theory. The derivation of these measures is carried up by a pairwise comparison process using the analytic network process (ANP) approach, an extension of the well known analytic hierarchy process (AHP), that allows to take into account complex interactions of evaluation process components such as dependency and feedback.