A complete information PCA-imprecise DEA approach for constructing composite indicator with interval data: an application for finding development degree of cities
by Kolsoom Zamani; Hashem Omrani
International Journal of Operational Research (IJOR), Vol. 44, No. 4, 2022

Abstract: Composite indicator approach is widely used for finding development degree of regions. One of the most important models for constructing composite indicator is data envelopment analysis (DEA) model. This paper presents a complete information principal component analysis (CIPCA)-imprecise DEA (IDEA) approach for finding development degree of cities with uncertain data. CIPCA is applied to reduce the number of indicators. The output of the CIPCA is a set of new indicators with lower and upper bounds. These indicators are considered as indicators of IDEA and final ranks of cities are calculated by IDEA model. To illustrate the capability of CIPCA-IDEA approach, the development degrees of cities in Kurdistan province of Iran are calculated. First, 62 development indicators are selected and the related interval data for year 2015 are gathered. Then, the proposed approach is applied for nine cities of Kurdistan province and development degree for each city is finally calculated. The results indicate that in the overall ranking, Bijar City is ranked first in the development and Baneh is ranked as ninth city.

Online publication date: Wed, 31-Aug-2022

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 Operational Research (IJOR):
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