Add like
Add dislike
Add to saved papers

Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm.

In the sense of contemporary industrial challenges, it may be said that many issues in the field of recycling may be analysed. In this paper, the model for choosing locations for construction of recycling centres equipped with new technology is proposed. The considered problem may be stated as a two-objective optimization problem, if the optimization criteria are presented as total distance and the overall suitability index sum. The relative importance and values of possible locations' attributes are described by pre-defined linguistic expressions, and modelled by interval triangular type-2 fuzzy numbers. Type-2 fuzzy numbers provide a possibility to incorporate the uncertainty of membership functions into the fuzzy set theory. The procedure for determination of the overall suitability index is proposed. Selection of the most appropriate locations is achieved by a two-objective genetic algorithm, since it is very suitable for the routing issues. The proposed model application is illustrated with the real-life data that come from a few regions in Serbia.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app