A new algorithm for synthesising locally most consistent priorities in analytic hierarchy process for group decision making
by Bojan Srdjevic; Zorica Srdjevic; Bosko Blagojevic
International Journal of Sustainable Agricultural Management and Informatics (IJSAMI), Vol. 6, No. 1, 2020

Abstract: The analytic hierarchy process (AHP) is an efficient tool in supporting group decision making processes because it is offering various possibilities to aggregate individual opinions, judgments and/or priorities into group equivalents, allowing control over the consistency of participating individuals. This paper proposes a straightforward procedure to locally identify: 1) the most consistent decision maker; 2) an associated prioritisation method; 3) the corresponding best local priority vector (set of weights in given node of hierarchy), to be used for the final AHP synthesis. Minimum total Euclidean distance as a universal consistency measure for the hierarchy is guaranteed on the group of decision makers and on a set of most used matrix and optimisation prioritisation methods. The algorithm is named as AHP-DPE and is applicable to any complete hierarchy (which is a philosophical pillar of AHP), for any size of a group and for any number of prioritisation methods. Selected example from agriculture illustrates how proposed methodology can be efficiently applied to obtain trustful solution in the group decision making context.

Online publication date: Thu, 09-Apr-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sustainable Agricultural Management and Informatics (IJSAMI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com