scholarly journals A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover

2018 ◽  
Author(s):  
Qian-yu Liu ◽  
Chiew-Foong Kwong ◽  
Sibo Zhang ◽  
Lincan Li
Keyword(s):  
Decision Making ◽  
Fuzzy Madm

SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN MUTU BERAS MISKIN MENGGUNAKAN FUZZY MADM MODEL YAGER

JURNAL TIKA ◽  
2021 ◽  
Vol 6 (02) ◽  
Author(s):  
Rini Meiyanti
Keyword(s):  
Decision Making ◽  
Economically Disadvantaged ◽  
Optimal Solution ◽  
Rice Quality ◽  
Disadvantaged Group ◽  
Rice Distribution ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making ◽  
Operational Activities ◽  
Do So

Rice distribution for economically disadvantaged group of people is one of the main  operational activities of  Bulog Company to advance Indonesian society welfare. Decision making for rice quality for the addressee often became a complicated problem. Overcoming those problems  takes an effective step in order to take a decision. One way to do so is to perform the classification process and search for the best result using the existing data. The use of software can be an optimal solution of the problem by using the method of Fuzzy Multi Attribute Decision Making (FMADM) Yager. This application will ease Perum Bulog to determine the best rice quality to be distributed to the economically disadvantaged group of people. After fuzzification of data to work with FMADM Yager perform pairwise comparisons are based on the value of an attribute of interest, determined the value of the weight (W), reappointment, and ranking the final results. Based on the results, then the KP. Adi Rizka an optimal alternative to the value of 0.8131 which it included in the category of suitable is 0.8. The system is built using the PHP programming language and MySQL database.

scholarly journals A Multi-Attribute Pearson’s Picture Fuzzy Correlation-Based Decision-Making Method

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 999 ◽  
Author(s):  
Jin ◽  
Wu ◽  
Sun ◽  
Zeng ◽  
Luo ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Ideal Point ◽  
New Correlation ◽  
Fuzzy Correlation ◽  
Relative Proximity ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making ◽  
Picture Fuzzy Sets

As a generalization of several fuzzy tools, picture fuzzy sets (PFSs) hold a special ability to perfectly portray inherent uncertain and vague decision preferences. The intention of this paper is to present a Pearson’s picture fuzzy correlation-based model for multi-attribute decision-making (MADM) analysis. To this end, we develop a new correlation coefficient for picture fuzzy sets, based on which a Pearson’s picture fuzzy closeness index is introduced to simultaneously calculate the relative proximity to the positive ideal point and the relative distance from the negative ideal point. On the basis of the presented concepts, a Pearson’s correlation-based model is further presented to address picture fuzzy MADM problems. Finally, an illustrative example is provided to examine the usefulness and feasibility of the proposed methodology.

scholarly journals Perancangan Aplikasi Perangkingan Perguruan Tinggi Menggunakan Fuzzy Simple Additive Weighting (SAW) (Studi Kasus: 25 PT Wilayah Kopertis XIII Provinsi Aceh)

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rizaldi Akbar
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
First Order ◽  
College Ranking ◽  
Aceh Province ◽  
Fuzzy Madm ◽  
Speed Up ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Support Decision Making

a b s t r a c t This research aims to make a ranking College in Aceh and its applications processing data.The College in question is 25 (twenty five) in the region XIII Kopertis Aceh province using Simple Additive Weighting (SAW) is one method that can be used to solve the problem of Fuzzy MADM. Application of decision support system (DSS) this can take account of all criteria that support decision making in order to help speed up and facilitate the decision-making process and do the rangking in particular. Based on the results of the study it can be concluded then the Fuzzy method of Multi Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) can provide information ranking College, where the final results will be calculated the value of preferences (Vi) the highest of each alternative.The highest value was made the first priority as the best college. The end result of the application of the method of College ranking in the form of the SAW with the first order at Serambi Mekkah of University with the value of 0.89 and a low of STMIK Abulyatama value of 0.38. a b s t r a k Penelitian ini bertujuan untuk membuat sebuah perangkingan perguruan tinggi di Aceh beserta aplikasi pengolahan datanya. Perguruan tinggi yang dimaksudkan adalah 25 (dua puluh lima) PTS di Wilayah Kopertis Wilayah XIII Provinsi Aceh dengan menggunakan Metode Simple Additive Weighting (SAW) merupakan salah satu metode yang dapat digunakan untuk menyelesaikan masalah Fuzzy MADM. Aplikasi Sistem Pendukung Keputusan (SPK) ini dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu mempercepat dan mempermudah proses pengambilan keputusan dan melakukan perangkingan khususnya. Berdasarkan hasil penelitian maka dapat disimpulkan Metode Fuzzy Multi Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) dapat memberikan informasi perangkingan perguruan tinggi, dimana hasil akhir akan dihitung nilai preferensi (Vi) tertinggi dari masing-masing alternatif. Nilai tertinggi dijadikan prioritas pertama sebagai perguruan tinggi terbaik. Hasil akhir dari penerapan metode SAW berupa perangkingan perguruan tinggi dengan urutan pertama pada Universitas Serambi Mekkah dengan nilai 0.89 dan terendah STMIK Abulyatama dengan nilai 0.38.

scholarly journals Penerapan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Dalam Pemilihan Tempat Pendirian Pabrik Kelapa Sawit

1970 ◽  
Vol 3 (2) ◽  
pp. 14-20
Author(s):  
Nuraida Latif ◽  
Zahir Zainuddin ◽  
Andani Achmad
Keyword(s):  
Decision Making ◽  
Ideal Solution ◽  
Order Preference ◽  
Fuzzy Madm

Penelitian ini bertujuan merancang suatu sistem pendukung keputusan sehingga dapat dijadikan sebagai solusi dalam penentuan lokasi tempat pendirian pabrik kelapa sawit dengan menerapkan model Fuzzy Multiple Atribut Decision Making (MADM) dengan metode Technique For Order Preference by Similarity to Ideal Solution (TOPSIS). Data penelitian diperoleh melalui penelitian pustaka, penelitian lapangan dan wawancara. Hasil penelitian ini menunjukkan bahwa penerapan fuzzy MADM metode TOPSIS untuk pemilihan lokasi pendirian pabrik kelapa sawit dilakukan dengan pengujian white-box dan hasilnya dinyatakan valid sehingga sistem dianggap layak untuk melakukan analisis kelayakan pemilihan lokasi pendirian pabrik kelapa sawit. Sedangkan lokasi pendirian pabrik kelapa sawit yang menjadi pilihan utama/prioritas berdasarkan hasil analisis sistem menggunakan metode TOPSIS adalah Maiwa dengan nilai preferensi total terbesar 0,8336 (Disetujui) sedangkan Cendana dengan nilai preferensi 0,5994 dan Enrekang dengan nilai preferensi 0,5745 menjadi alternatif yang dapat dipertimbangkan.

scholarly journals Methods for MADM with Picture Fuzzy Muirhead Mean Operators and Their Application for Evaluating the Financial Investment Risk

Symmetry ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 6 ◽  
Author(s):  
Rui Wang ◽  
Jie Wang ◽  
Hui Gao ◽  
Guiwu Wei
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Investment Risk ◽  
Financial Investment ◽  
Multiple Attribute ◽  
Fuzzy Aggregation ◽  
Fuzzy Madm ◽  
Decision Making Model

In this article, we study multiple attribute decision-making (MADM) problems with picture fuzzy numbers (PFNs) information. Afterwards, we adopt a Muirhead mean (MM) operator, a weighted MM (WMM) operator, a dual MM (DMM) operator, and a weighted DMM (WDMM) operator to define some picture fuzzy aggregation operators, including the picture fuzzy MM (PFMM) operator, the picture fuzzy WMM (PFWMM) operator, the picture fuzzy DMM (PFDMM) operator, and the picture fuzzy WDMM (PFWDMM) operator. Of course, the precious merits of these defined operators are investigated. Moreover, we have adopted the PFWMM and PFWDMM operators to build a decision-making model to handle picture fuzzy MADM problems. In the end, we take a concrete instance of appraising a financial investment risk to demonstrate our defined model and to verify its accuracy and scientific merit.

Picture fuzzy tensor and its application in multi-attribute decision making

2021 ◽  
pp. 1-15
Author(s):  
Jiulin Jin ◽  
Fuyang Zhu ◽  
Taijie You
Keyword(s):  
Decision Making ◽  
Decomposition Theorem ◽  
Typical Application ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making

In this paper, picture fuzzy tensor is proposed, and some related properties are studied. In the meantime, the decomposition theorem of picture fuzzy tensors is established by using picture fuzzy cutting tensors and picture fuzzy t-norm. Moreover, we propose the generalized picture fuzzy weighted interaction aggregation (GPFWIA) operator and the generalized picture fuzzy weighted interaction geometric (GPFWIG) operator. Finally, an application of picture fuzzy tensor in multi-attribute decision making (MADM) problems is presented, that is, a method is suggested to solve picture fuzzy MADM problems with multi-dimensional data characteristics. It is found that our proposed method is feasible and effective by a typical application example.

scholarly journals Sistem Pendukung Keputusan Seleksi Visa-Kitas Lansia Menggunakan Metode Fuzzy MADM (STUDI KASUS: PT. Mulia Prima Permai)

Telematika ◽  
2018 ◽  
Vol 15 (1) ◽  
pp. 30
Author(s):  
Putri Taqwa Prasetyaningrum ◽  
Dhana Sudana
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
The Elderly ◽  
Data Input ◽  
Fuzzy Madm ◽  
Selection Of

AbstractThe selection of elderly visa-kitas receiver to asses the cantidate who qualify at PT Mulia Prima Permai Jakarta is not an easy process. The difficulty of the procedure require in Embassy makes PT Mulia Prima Permai needs to choose the most effective way to do the selection of elderly visa applicants before sending it to the Embassy. One of the options is by using the decision making of Fuzzy Multi Attribute Dictition Making (MADM) method. The Fuzzy Multi Attribute Diction Making Method is expected can help to solve the problem of elderly visa acceptance selection effectively. In this research, it is necessary to compile some criteria and alternatives. To support the selection process of acceptance for the elderly visa kitas a Decision Support System of selection was created by using Fuzzy Multi Attribute Dicision Making (MADM) method. The Decision Support System is useful to process the required data (input) of elderly visa kitas application and outcome the request status output in the form that 100% match the results of the calculation with PT. Mulia Prima Permai.Keywords: Fuzzy Multi Attribute Dicision Making (MADM), Elderly visa-kitas selection, Decission support systemAbstrakSeleksi penerimaan visa-kitas lansia, untuk menilai calon peserta yang memenuhi syarat di PT.Mulia Prima Permai Jakarta bukanlah suatu kegiatan yang mudah. Banyaknya prosedur seleksi pada tingkat Dirjen Imigrasi, membuat PT.Mulia Prima Permai harus mengambil keputusan yang tepat untuk menyeleksi persyartan pemohon visa sebelum dikirim ke Dirjen Imigrasi, ini menjamin permohonan visa-kitas dapat dipertangung-jawabkan dan disetujui. Salah satu solusi dalam memecahkan masalah seleksi penerimaan visa kitas lansia tersebut adalah dengan pengambilan keputusan metode Fuzzy Multi Attribute Dicision Making (MADM). Metode Fuzzy Multi Attribute Dicision Making dapat membantu menyelesaikan permasalahan seleksi penerimaan visa kitas lansia tersebut dengan efektif. Dalam penelitian ini, untuk mendapatkan solusi pengambilan keputusan seleksi penerimaan visa kitas lansia tersebut, perlu disusun beberapa kriteria dan alternatif. Untuk membantu proses seleksi penerimaan visa kitas lansia tersebut, maka dibuat sebuah Sistem Pendukung Keputusan seleksi penerimaan visa kitas lansia tersebut dengan menggunakan metode Fuzzy Multi Attribute Dicision Making (MADM). Sistem Pendukung Keputusan berguna untuk mengolah data-data syarat (input) permohonan visa kitas lansia dan mengahsilkan output status permohonan berupa kesamaan hasil 98% cocok terhadap hasil perhitungan PT. Mulia Prima Permai.Kata kunci: Fuzzy Multi Attribute Dicision Making (MADM), Seleksi visa-kitas lansia, Sistem Pendukung Keputusan

scholarly journals SISTEM FUZZY METODE SAW PEMBERIAN BEASISWA PADA MAHASISWA STMIK TUNAS BANGSA BANDAR LAMPUNG

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Alhibarsyah Alhibarsyah ◽  
Keyword(s):  
Decision Making ◽  
Weighting Method ◽  
Multiple Attribute ◽  
Scholarship Recipients ◽  
Scholarship Program ◽  
Fuzzy Madm ◽  
Simple Additive Weighting ◽  
To Receive ◽  
Tuition Fee ◽  
Selection Of

Abstract The scholarship is a form of giving the material, besides being able to encourage the students to be more active, to support the progress of the education world, to sharpen themselves to become a qualified student, and also to provide the relief in paying tuition fee for the students. STMIK Tunas Bangsa holds a scholarship program for outstanding and underprivileged students by fulfilling the requirements that must be met. This is where the campus conducts selection to determine who is eligible to receive the scholarship. In the process of selection of scholarship recipients is needed a method of decision-making scholarship. One of the methods that can be used for decision support systems is by applying the Fuzzy MADM (Multiple Attribute Decission Making) method. To perform the calculation on this method using SAW (Simple Additive Weighting) method. This method is chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is that eligible to receive scholarship based on the criteria specified. Keywords : Scholarships, Fuzzy, SAW, Decisions, Criteria

scholarly journals Aplikasi Metode Fuzzy Multi-Attribute Decision Making Berbasis Web dalam Pemilihan Calon Kepala Daerah di Indonesia

2013 ◽  
Vol 7 (1) ◽  
pp. 101 ◽  
Author(s):  
Muhamad Munawar Yusro ◽  
Retantyo Wardoyo
Keyword(s):  
Decision Making ◽  
Visual Appearance ◽  
Decision Making System ◽  
Total Integral ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making ◽  
Direct Elections

AbstrakSejak tahun 2005 di Indonesia sudah dilaksanakan pemilihan kepala daerah (pilkada) secara langsung mulai dari pemilihan kepala desa, bupati, walikota sampai dengan gubernur. Majalah SwaSembada menyebutkan ada pemilihan langsung untuk 500 anggota DPR; 33 gubernur, serta sekitar 460 pemilihan untuk jabatan bupati dan wali kota. Dalam penelitian ini dibuat sebuah aplikasi yang mampu mensimulasikan suatu bentuk aplikasi pengambilan keputusan kasus Penentuan Pilihan Calon Kepala Daerah di Indonesia menggunakan metode Fuzzy MADM yang dikembangkan oleh Moon Hyun Joo dan Chang Sun Kang. Sistem ini mempunyai kemampuan menampung input kriteria yang diinginkan dari pengguna, alternatif pasangan calon, dan pada akhirnya mampu memberikan tampilan visual berupa himpunan solusi terbaik dari beberapa alternatif yang diberikan menggunakan metode perangkingan Nilai Total integral. Dari dua kasus pemilihan bupati yang diujikan ternyata hasil perangkingan tidak selalu sama tergantung dari tingkat keoptimisan (a) yang dipakai. Kata kunci— fuzzy, fmadm, pemilihan kepala daerah AbstractSince 2005, in Indonesia the election of regional leader (pilkada) has been held directly start from election of countryside head, regent, mayor up to governor. SwaSembada Magazine mentioned that there are direct elections to elect 500 members of DPR; 33 governors, and also about 460 elections for the occupation of lord mayor and regent. The aim of this research is to create an application which is capable to simulate a Decision Making System in the case of Determination the Choice in the Election of Regional Leader in Indonesia using the Fuzzy MADM method developed by Moon Hyun Joo and Chang Sun Kang. This system is able to accomodate the criterion input as the consumer want, alternative of candidate couple, and finally can give the visual appearance in the form of best solution gathering from some given alternatives using the Nilai Total integral sort method. This system has been implemented in two elections of Regional Leader, and from the test can be concluded that the result of the sort is not always the same. It depends on the optimism storey level (a) that used in the system. Keywords— fuzzy, fmadm, election of regional leader

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