Fuzzy VIKOR C-means (FVCM) is a kind of unsupervised fuzzy clustering algorithm that improves the accuracyand computational speed (FCM). So it reduces sensitivity to noisy and outlier data, enhances performance quality clusters. Since FVCM allocates some data specific cluster based on similarity technique, reducing effect increases This paper presents new approach accurate location clusters ove...

In today’s competitive global markets, selection of a potential supplier plays an important role to cut production costs as well as material costs of the company. This leads to successful survival and sustainability in a competitive marketplace. Therefore, evaluation and selection of an appropriate supplier has become an important part of supply chain management. The nature of the supplier sele...

Multi-criteria decision-making (MCDM) can be formally implemented by various methods. This study compares suitability of four selected MCDM methods, namely WPM, TOPSIS, VIKOR, and PROMETHEE, for future applications in agent-based computational economic (ACE) models of larger scale (i.e., over 10 000 agents in one geographical region). These four MCDM methods were selected according to their app...

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions both from researchers and practitioners. As a re...

Performance measurement in the health-care sector is a challenging task due to the wide variety in performance metrics and their interpretation. It is essential to develop a robust methodology to evaluate health-care performance since substantial and increasing amount of public resources are dedicated to health-care. With this goal in mind, this paper proposes a fuzzy decision making framework ...

Due to increased demands of production capacity and higher quality requirements, industries are automating at a fast pace. Industrial robots an important component the industrial automation ecosystem. However, selection appropriate is challenging task due sheer number alternatives present their varied specifications. The various characteristics or attributes that need consideration before optim...

This paper presents a group multi-criteria DEMATEL and VIKOR decision analysis method with interval type-2 fuzzy sets. In order to compare normal fuzzy trapezoidal numbers, we convert them into crisp values using graded mean integration representation. By a case study for selection of business intelligence platform, we prove that the proposed combination is a feasible solution that can work wit...

Instansi pendidikan saat ini banyak membuka peluang beasiswa bagi siswa yang kurang mampu. Dengan semakin banyaknya pemohon beasiswa, menjadikan tantangan tersendiri pihak pengelola untuk dapat memberikan suatu keputusan tepat dan akurat. MAN 2 Ciamis merupakan salah satu sekolah mampu mendapatkan bantuan akan tetapi tim penyeleksi di masih menggunakan cara manual menetukan siswa-siswa berhak m...

When the government decides to use public-private partnership (PPP) in projects, such as infrastructure construction, selecting a private-sector partner that meets project's needs is one of key factors for successful implementation, but this ignored existing research. On basis, paper proposes GRA-VIKOR method based on combined weight improved CRITIC-entropy (EWM). The traditional CRITIC by comb...