5. The fuzzy model for determining criteria weights based on level construction

2020 ◽  
pp. 77-90
Keyword(s):  
Fuzzy Model ◽  
Criteria Weights

Site selection criteria for temporary sheltering in urban environment

2019 ◽  
Vol 11 (1) ◽  
pp. 58-70
Author(s):  
Katayoun Jahangiri ◽  
Hasti Borgheipour ◽  
Saeid Bahramzadeh Gendeshmin ◽  
Amirhossein Matin ◽  
Ghazaleh Monazami Tehrani
Keyword(s):  
Urban Environment ◽  
Fuzzy Model ◽  
Urban Environments ◽  
Content Type ◽  
Disaster Victims ◽  
Criteria Weights ◽  
Proper Map ◽  
Gis Environment ◽  
Risk Communities ◽  
Selection Of

Purpose The inevitable occurrence of natural disasters and crisis arising from them causes a lot of losses globally, particularly in disaster-prone countries such as Iran. One of the main issues considered by organizations involved in crisis management is the selection of suitable sites for temporary sheltering for disaster victims. This study aims to choose safe places to establish temporary sheltering in urban environment. Design/methodology/approach Initially, relevant factors are identified by reviewing literature and through consultation with disaster experts. Next, the important layers were collected and analytical hierarchy process was used to assess the criteria weights based on their effectiveness on selection of safe sites for temporary sheltering. Finally, for integrating layers of factors, overlay and fuzzy models were used in Geographic Information System (GIS) environment, and subsequently, a proper map was prepared and suitable areas were identified. Findings 7 main criteria and 19 sub-criteria were selected to provide safe places for temporary sheltering. The results of fuzzy model in this study provide more accurate and limited safe areas for temporary sheltering when compared to index overlay model. Originality/value The results of this study will help decision-makers and local and regional managers to reduce the vulnerability of at-risk communities in urban environments. Moreover, choosing appropriate places for temporary shelters would help build community disaster resilience according to these criteria.

scholarly journals PRIORITIZING THE WEIGHTS OF THE EVALUATION CRITERIA UNDER FUZZINESS: THE FUZZY FULL CONSISTENCY METHOD – FUCOM-F

2020 ◽  
Vol 18 (3) ◽  
pp. 419
Author(s):  
Dragan Pamucar ◽  
Fatih Ecer
Keyword(s):  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Real Life ◽  
Fuzzy Model ◽  
Complete Information ◽  
Sources Of Information ◽  
Weighting Method ◽  
Life Problems ◽  
Criteria Weights ◽  
Consistency Method

Values, opinions, perceptions, and experiences are the forces that drive almost each and every kind of decision-making. Evaluation criteria are considered as sources of information used to compare alternatives and, as a result, make selection easier. Seeing their direct effect on the solution, weighting methods that most accurately determine criteria weights are needed. Unfortunately, the crisp values are insufficient to model real life problems due to the lack of complete information and the vagueness arising from linguistic assessments of decision-makers. Therefore, this paper proposes a novel subjective weighting method called the Fuzzy Full Consistency Method (FUCOM-F) for determining weights as accurately as possible under fuzziness. The most prominent feature of the proposed method is obtaining the most accurate weight values with very few pairwise comparisons. Consequently, thanks to this model, consistency and reliability of the results increase while the processing time and effort decrease. Moreover, an illustrative example related to the green supplier evaluation problem is performed. Finally, the robustness and effectiveness of the proposed fuzzy model is demonstrated by comparing it with fuzzy best-worst method (F-BWM) and fuzzy AHP (F-AHP) models.

Inverse Fuzzy Model Controllers

1993 ◽  
Author(s):  
Celal Batur ◽  
Arvind Srinivasan ◽  
Chien-Chung Chan
Keyword(s):  
Fuzzy Model

NEURO-FUZZY MODEL FOR ENVIRONMENTAL IMPACT ASSESSMENT

2011 ◽  
Vol 10 (3) ◽  
pp. 381-386 ◽  
Author(s):  
Alexandru Trandabat ◽  
Marius Pislaru ◽  
Silvia Avasilcai
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Fuzzy Model ◽  
Neuro Fuzzy

Pengklasifikasian Tingkat Kesejahteraan Keluarga Di Desa Citamiang Dengan Penerapan Logika Fuzzy Model Tahani

2020 ◽  
Vol 5 (2) ◽  
pp. 97-107
Author(s):  
Yoga Permana ◽  
Lelah Lelah
Keyword(s):  
Fuzzy Model

Indonesia merupakan negara yang memiliki populasi penduduk yang cukup besar, pada tahun 2020 jumlah penduduk Indonesia mencapai 269,6 juta jiwa. Setiap dari mereka tentunya memiliki keluarga. Kesejahteraan keluarga tidak hanya berpengaruh terhadap keberhasilan anggota keluarganya, namun juga berpengaruh terhadap keberhasilan pemerintah, tak terkecuali pemerintahan desa. Oleh sebab itu, informasi mengenai tingkat kesejahteraan keluarga diperlukan untuk meninjau upaya yang telah dilakukan pemerintah apakah berhasil ataukah tidak. Untuk menentukan tingkat kesejahteraan keluarga terdapat beberapa indikator seperti penghasilan, pekerjaan, usia dan tanggungan. Supaya proses pengklasifikasian kesejahteraan keluarga bisa lebih efisien maka dapat diolah melalui program yang menerapkan logika fuzzy dengan model Tahani. Tujuan dari penelitian ini dimaksudkan untuk mengklasifikasikan kesejahteraan keluarga berdasarkan data penduduk yang dimiliki oleh pemerintah desa. Berdasarkan hasil penelitian yang diperoleh logika fuzzy dengan model Tahani bisa digunakan untuk mengolah data penduduk yang sesuai dengan indikator tingkat kesejahteraan keluarga dengan memberikan keluaran berupa pengklasifikasian keluarga meliputi keluarga tidak mampu, keluarga prasejahtera dan keluarga sejahtera. Keluaran dari program juga diuji dengan aplikasi fuzzyTECH untuk mengukur keberhasilan penerapan logika fuzzy pada program yang dibangun.

Fuzzy model for grape sugar content and fruit shape index with irrigation quota as parameter

2010 ◽  
Vol 18 (2) ◽  
pp. 348-351
Author(s):  
Tao LI ◽  
Jian-Feng ZHANG ◽  
Jiang-Hui ZHANG ◽  
Quan-Jiu WANG ◽  
Sheng-Jiang ZHANG ◽  
...  
Keyword(s):  
Sugar Content ◽  
Fuzzy Model ◽  
Shape Index ◽  
Fruit Shape

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

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