Admissible orders of typical hesitant fuzzy elements and their application in ordered information fusion in multi-criteria decision making

Non-additive measures and corresponding integrals originally have been introduced by Choquet in 1953 (1) and independently defined by Sugeno in 1974 (2) in order to extend the classical measure by replacing the additivity property to non-additive property. An important feature of non –additive measures and fuzzy integrals is that they can represent the importance of individual information sources and interactions among them. There are many applications of non-additive measures and fuzzy integrals such as image processing, multi-criteria decision making, information fusion, classification, and pattern recognition. This paper presents a mathematical model for discussing an application of non-additive measures and corresponding integrals in tourism management. First, the problem of tourism management is described for one of the tourism companies in Iraq. Then, fuzzy integrals (Sugeno integral, Choquet integral, and Shilkret integral) are applied with respect to non-additive measures to evaluate the grade of the gratification of the tourist of staying in a particular town for determining the best evaluation.

Download Full-text

Framework to Analyze Construction Labor Productivity Using Fuzzy Data Clustering and Multi-Criteria Decision-Making

Construction Research Congress 2020 ◽

10.1061/9780784482865.006 ◽

2020 ◽

Author(s):

Matin Kazerooni ◽

Mohammad Raoufi ◽

Aminah Robinson Fayek

Keyword(s):

Decision Making ◽

Labor Productivity ◽

Data Clustering ◽

Fuzzy Data ◽

Multi Criteria Decision Making

Download Full-text

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) ◽

10.33173/jsikti.10 ◽

2018 ◽

Vol 1 (1) ◽

pp. 35-42

Author(s):

Muslimin B ◽

Sumardi Sumardi

Keyword(s):

Decision Making ◽

Learning Process ◽

Teaching And Learning ◽

Teaching Assistants ◽

Multi Criteria Decision Making ◽

Scholarship Recipients ◽

The Matrix ◽

Application Decision ◽

High Degree ◽

New Student

Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

Download Full-text

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2019.jed.spi.09 ◽

2019 ◽

pp. 125-133

Author(s):

Duong Truong Thi Thuy ◽

Anh Pham Thi Hoang

Keyword(s):

Decision Making ◽

Commercial Banks ◽

Decision Model ◽

Business Models ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Topsis Method ◽

Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Download Full-text