PRIORITIZING INNOVATION FACTORS BY USING ANALYTIC NETWORK PROCESS

The Analytic Network Process

Abstract   The Analytic Network Process (ANP) is a generalization of the Analytic Hierarchy Process (AHP). The basic structure is an influence network of clusters and nodes contained within the clusters. Priorities are established in the same way they are in the AHP using pairwise comparisons and judgment. Many decision problems cannot be structured hierarchically because they involve the inter...

Assessing the effectiveness of knowledge management using Analytic Network Process

Knowledge management in higher education is a set of organizational processes that support creating and transferring the knowledge in these institutions and allows for achieving organizational and university objectives. Therefore, for the proper management of organizational knowledge, appropriate tools are needed to be able to be aware of the effectiveness of knowledge management in organizatio...

Identification and prioritizing of urban disteressed areas factors by applying the fuzzy analytic hierarchy process (FAHP) in Karaj city

The problems of distressed urban areas are getting worse year after year. Due to limited resources and Amenities of municipal organizations for solving every problem concerning urban distressed textures, it is essential to determine the priorities of each area based on identified factors and criteria. In distressed areas, there are different circumstances and distinctive citizens with their nee...

Applications of Analytic Network Process in Entertainment

Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP)

The Central Statistics Agency (BPS) is a government institution that has the authority to carry out statistical activities in the form of censuses and surveys, to produce statistical data needed by the government, the private sector and the general public, as a reference in planning, monitoring, and evaluation of development results. Therefore, providing quality statistical data is very decisiv...