Algorithms Based on COPRAS and Aggregation Operators with New Information Measures for Possibility Intuitionistic Fuzzy Soft Decision-Making

Garg, Harish; Arora, Rishu

doi:10.1155/2020/1563768

Cited by 22 publications

(8 citation statements)

References 48 publications

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“…Metode COPRAS dapat menunjukkan waktu kalkulasi yang lebih singkat, sangat mendasar, transparansi yang baik, dan kemungkinan tinggi dalam strategi pemahaman grafis dibandingkan dengan metode yang lain dengan mempertimbangkan ketergantungan faktor prioritas dan tingkat utilitas objek dan atribut yang berlawanan [21].…”

Section: B Complex Proportional Assessment (Copras)unclassified

Pemilihan Dosen Penguji Skripsi Menggunakan Metode ARAS, COPRAS dan WASPAS

Hutagalung¹,

R²

2021

SISFOKOM

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Penentuan dosen penguji skripsi dalam penelitian ini menggunakan metode ARAS, COPRAS dan WASPAS dengan 5 kriteria : masa kerja, fungsional, kompetensi, pendidikan dan tugas belajar serta ada 20 data alternatif. Penunjukan dosen penguji skripsi di STMIK Triguna Dharma, saat ini dilakukan masih secara langsung dan manual serta adakalanya mengesampingkan jumlah mahasiswa yang akan diuji sehingga kurang seimbang jumlahnya untuk setiap dosen. Masih ada ditemukan keputusan yang kurang optimal saat penunjukan dosen yang tidak sesuai dengan tema skripsi mahasiswa sehingga nilai kualitas karya ilmiah menurun. Untuk itu diperlukan sistem yang berguna dalam penentuan calon dosen penguji, agar sesuai dengan kompetensi calon dosen penguji dan tidak terlalu banyak jumlah mahasiswa yang akan diuji agar lebih fokus. Perbandingan metode dalam penelitian ini dengan melakukan perangkingan supaya diperoleh alternatif secara optimal dan objektif diawali dengan penentuan bobot dari setiap kriteria, hasil ranking diurutkan dari nilai yang tertinggi agar pemilihan dosen penguji mudah ditentukan dan sebagai alat rekomendasi bagi pihak pengambil keputusan. Untuk mendapatkan pilihan terbaik metode ARAS menggunakan nilai utilitas (Ki) tertinggi, metode COPRAS didasarkan pada skor penilaian utilitas quantitatif (Ui) tertinggi dan metode WASPAS menggunakan nilai preferensi (Qi) tertinggi untuk mendapatkan pilihan terbaik. Alternatif terbaik dengan metode ARAS menghasilkan (A6=0,9385) selanjutnya A5, A19, A3, A11, A14, A16, A18, A10, A4, A17, A9 layak untuk direkomendasi. Metode COPRAS menghasilkan (A6=100) dan metode WASPAS menghasilkan (A6=0,7083)

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Section: B Complex Proportional Assessment (Copras)unclassified

Pemilihan Dosen Penguji Skripsi Menggunakan Metode ARAS, COPRAS dan WASPAS

Hutagalung¹,

R²

2021

SISFOKOM

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“…COPRAS method is engineering problems in computation time means less, more basic, good a comparative analysis of methods transparency and their graphical about co-strategies greater possibilities of understanding indicates. Hajiaka et al in literature, various of cobras method in fuzzy environment there are many applications [21]. To enhance the evaluation efficiency of COPRAS, stochastic COPRAS (COPRAS-s) stochastic decision making named as complex using process proportionality rating (COPRAS) approach.…”

Section: Complex Proportionality Assessment (Copras)mentioning

confidence: 99%

Selection of Industrial Robots Problem Using Complex Proportional Assessment (COPRAS) Method

2021

Data Analytics and Artificial Intelligence

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Industrial Robot is continuously moving assembly line Intensive production required by to automate tasks A created one. Big, as heavy robots, they are a At standard conditions within an industrial plant are placed, and other All labour works Processes also revolve around them. Obvious robots too Common industrial robots. They are like human hands Looks, that's what they are Robotic arm or manipulator Also called hand. Many There with degree of independence Accents are obvious weapons Allow a wide range of motion.Industrial robots functional quality, Safety and productivity Improve almost every production Also widely used in companies. Nature of work to be done Depending, there are many types of robots now Commercially from different manufacturers are available. analysis of the COPRAS method in this complex proportional estimation (COPRAS) system in 1994 zavadskas, kaklauskas and sarka introduced by this time index values increase and decrease used to estimate. Alternative: ASEA-IRB 60/2, Cincinnati Milacrone T3-726, Cybotech V15 Electric Robot, Unimation PUMA 500/600, United States Robots Maker 110, Yaskawa Electric Motoman L3C.Evaluation preference: repeatability, memory capacity, manipulator reach, load capacity, maximum tip speed. The result it is seen that Cybotech V15 Electric Robot is got the first rank where as is the ASEA-IRB 60/2 is having the lowest rank.

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“…While an algorithm for selecting the anti virus mask for COVID-19 was developed by Yang et al [60] by using the Spherical fuzzy set. Some interesting literature can be found in the [21,9,16,10,17,59,54,14]. Because of some restrictions on the notion of FS and IFS, Cuong introduced the concept of PFS [5] such as in the human opinions where as an IFS can be only phenomena of yes or no types.…”

Section: Introductionmentioning

confidence: 99%