Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method

Year 2022, Volume: 1 Issue: 1, 63 - 77, 01.10.2022

Muhammet Yasir Koç

Abstract

In health services planning, it is aimed to use the existing resources in the most effective way to meet the needs and expectations of the society. Health services planning can be thought of as a multi-criteria decision-making problem, due to the varying expectations, needs and conditions from country to country. In this study, the problem of location selection of specific health service units, which requires high cost and human resource planning, is discussed. 4 main criteria were determined for the location selection problem of specialty health service units and the order of preference of 9 alternatives was made. In this study, the WASPAS method, which is an integration of Weighted Product Model (WPM) and Weighted Sum Model (WSM), was used by incorporating the uncertainties in the evaluations into the model using Pythagorean fuzzy sets.

Keywords

WASPAS, MCDM, Location Selection

Pisagor Bulanık WASPAS Yöntemiyle Özellikli Tıbbi Hizmet Birimlerinin Yer Seçimi

Abstract

Sağlık hizmetleri planlamasında mevcut kaynakların, toplumun ihtiyaç ve beklentilerini karşılayacak şekilde en etkin şekilde kullanılması hedeflenmektedir. Ülkeden ülkeye değişen beklenti, ihtiyaçlar ve şartların olması nedeniyle, sağlık hizmetleri planlaması, çok kriterli karar verme problemi olarak düşünebilir. Bu çalışmada, yüksek maliyetli ve insan kaynağı planlaması gerektiren özellikli sağlık hizmet birimlerinin yer seçimi problemi ele alınmıştır. Özellikli sağlık hizmet birimlerinin yer seçimi problemi için 4 ana kriterler belirlenmiş ve 9 alternatifin tercih sırası yapılmıştır. Bu çalışmada, Pisagor bulanık kümeleri kullanılarak değerlendirmelerdeki belirsizlikler modele dahil edilerek, Ağırlıklı Çarpım Modeli (WPM) ve Ağırlıklı Toplam Model (WSM) entegrasyonu olan WASPAS yöntemi kullanılmıştır.

Keywords

Sağlık Hizmetleri Planlaması, Yer Seçimi, Pisagor WASPAS, Çok Kriterli Karar Verme

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