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A Fuzzy Logic Programming Environment for Recycling Facility Selection

Topics: Foundations of Fuzzy Sets, Fuzzy Logic, Fuzzy Measures and Fuzzy Integrals; Fuzzy Decision Analysis, Multi-Criteria Decision Making and Decision Support; Fuzzy Methods in Data Analysis, Clustering, Classification and Pattern Recognition; Fuzzy Methods in Knowledge Discovery, Machine Learning, Approximate Reasoning, Information Fusion; Industrial, Financial, Medical, and Other Applications Using Fuzzy Methods

Authors: Esra Çakir and H. Ziya Ulukan

Affiliation: Faculty of Engineering and Technology, Department of Industrial Engineering, Galatasaray University, İstanbul and Turkey

Keyword(s): Fuzzy Logic Programming, Fuzzy Prolog, Bousi~Prolog, Recycling Facility Selection, Waste Collection Center Selection.

Abstract: Recycling of wastes is a crucial subject for a sustainable environment. One of the main problem in this area is the appropriate location of the collection centers and recycling facilities. These facilities can be paired according to the criteria such as: distance, cost, type of waste. In this paper, fuzzy linguistics Prolog is used to find importance weights of selection criteria and to match facilities for decision making process. Bousi~Prolog is a fuzzy Prolog that enables working with both fuzzy linguistic and linguistic tools to guide the Prolog systems towards computing with paradigm phrases that can be very helpful to the linguistic resources.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Çakir, E. and Ulukan, H. (2019). A Fuzzy Logic Programming Environment for Recycling Facility Selection. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 367-374. DOI: 10.5220/0008397503670374

@conference{fcta19,
author={Esra \c{C}akir. and H. Ziya Ulukan.},
title={A Fuzzy Logic Programming Environment for Recycling Facility Selection},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA},
year={2019},
pages={367-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008397503670374},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA
TI - A Fuzzy Logic Programming Environment for Recycling Facility Selection
SN - 978-989-758-384-1
IS - 2184-3236
AU - Çakir, E.
AU - Ulukan, H.
PY - 2019
SP - 367
EP - 374
DO - 10.5220/0008397503670374
PB - SciTePress