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首页> 外文期刊>Foundations of computing and decision sciences >SANPEV: a Satisficing Analytic Network Process framework for Efficiency eValuation of alternatives
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SANPEV: a Satisficing Analytic Network Process framework for Efficiency eValuation of alternatives

机译：SANPEV：评估效率的令人满意的分析网络过程框架

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摘要

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 their 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.
机译：本文的目的是得出一种程序，以评估被视为系统的一组替代物或单元，其中某些转换过程会消耗异质的输入属性或项（要广义理解，包括必须做的工作，负面影响） ，消耗性资源...）来产生或交付不同的输出项目（包括主观满意度，有形产品，有益影响...）。通常，评估过程将涉及许多具有不同观点的参与者以及或多或少可靠的不同信息来源。我们在这里考虑的评估环境包括利益相关者（决策者，专家，用户等），他们就每个项目对评估目标的影响发表意见。有关物品的信息或数据（用于不同替代品的物品的价值）是从或多或少可靠的不同信息或数据源（报纸，杂志，网络，代理商和咨询柜，专家等）收集或提供的。建立的模型旨在整合这些不同组成部分（利益相关者，项目，信息源和替代方案）之间的相互作用，并在计算两个度量时对每个替代方案或单位大为鼓舞，其中包括：一种聚合度量，称为系统输出的选择性。在满足博弈论的框架内，在输入处的聚合度量称为可拒绝性。这些度量的推导是通过使用分析网络过程（ANP）方法的成对比较过程进行的，这是众所周知的分析层次过程（AHP）的扩展，它允许考虑评估过程组件（例如，依赖性和反馈。

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