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Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location

The theory of picture fuzzy sets is useful for handling uncertainty in multiple attribute decision making problems by considering membership, non-membership and indeterminacy degrees independently for each element. In this paper, by extending the classical linear assignment method, we propose a nove...

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Autor principal: Gundogdu, Fatma Kutlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351579/
http://dx.doi.org/10.1007/978-3-030-51156-2_13
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author Gundogdu, Fatma Kutlu
author_facet Gundogdu, Fatma Kutlu
author_sort Gundogdu, Fatma Kutlu
collection PubMed
description The theory of picture fuzzy sets is useful for handling uncertainty in multiple attribute decision making problems by considering membership, non-membership and indeterminacy degrees independently for each element. In this paper, by extending the classical linear assignment method, we propose a novel method which is called picture fuzzy linear assignment method (PF-LAM) for solving multiple criteria group decision-making problems with picture fuzzy sets. A ranking procedure consisting of aggregation functions, score functions, accuracy functions, and weighted rank frequency and a binary mathematical model are presented to determine the priority order of various alternatives. The applicability and validity of the proposed method is shown through the selection of pest house locations. The proposed method helps managers to find the best location to construct the pest house based on the determined criteria.
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spelling pubmed-73515792020-07-13 Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location Gundogdu, Fatma Kutlu Intelligent and Fuzzy Techniques: Smart and Innovative Solutions Article The theory of picture fuzzy sets is useful for handling uncertainty in multiple attribute decision making problems by considering membership, non-membership and indeterminacy degrees independently for each element. In this paper, by extending the classical linear assignment method, we propose a novel method which is called picture fuzzy linear assignment method (PF-LAM) for solving multiple criteria group decision-making problems with picture fuzzy sets. A ranking procedure consisting of aggregation functions, score functions, accuracy functions, and weighted rank frequency and a binary mathematical model are presented to determine the priority order of various alternatives. The applicability and validity of the proposed method is shown through the selection of pest house locations. The proposed method helps managers to find the best location to construct the pest house based on the determined criteria. 2020-06-10 /pmc/articles/PMC7351579/ http://dx.doi.org/10.1007/978-3-030-51156-2_13 Text en © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Gundogdu, Fatma Kutlu
Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title_full Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title_fullStr Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title_full_unstemmed Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title_short Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location
title_sort picture fuzzy linear assignment method and its application to selection of pest house location
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351579/
http://dx.doi.org/10.1007/978-3-030-51156-2_13
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