Generalized hesitant fuzzy knowledge measure with its application to multi-criteria decision-making

Motivated by the structural aspect of the probabilistic entropy, the concept of fuzzy entropy enabled the researchers to investigate the uncertainty due to vague information. Fuzzy entropy measures the ambiguity/vagueness entailed in a fuzzy set. Hesitant fuzzy entropy and hesitant fuzzy linguistic term set based entropy presents a more comprehensive evaluation of vague information. In the vague situations of multiple-criteria decision-making, entropy measure is utilized to compute the objective weights of attributes. The weights obtained due to entropy measures are not reasonable in all the situations. To model such situation, a knowledge measure is very significant, which is a structural dual to entropy. A fuzzy knowledge measure determines the level of precision in a fuzzy set. This article introduces the concept of a knowledge measure for hesitant fuzzy linguistic term sets (HFLTS) and show how it may be derived from HFLTS distance measures. Authors also investigate its application in determining the weights of criteria in multi-criteria decision-making (MCDM).

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On Some Knowledge Measures of Intuitionistic Fuzzy Sets of Type Two with Application to MCDM

Cybernetics and Information Technologies ◽

10.2478/cait-2020-0001 ◽

2020 ◽

Vol 20 (1) ◽

pp. 3-20 ◽

Cited By ~ 1

Author(s):

Surender Singh ◽

Sumita Lalotra ◽

Abdul Haseeb Ganie

Keyword(s):

Decision Making ◽

Comparative Study ◽

Fuzzy Sets ◽

Intuitionistic Fuzzy Sets ◽

Fuzzy Entropy ◽

Multi Criteria Decision Making ◽

Intuitionistic Fuzzy ◽

Knowledge Measure ◽

Intuitionistic Fuzzy Entropy ◽

Entropy Measures

AbstractTo overcome the certain limitations of Intuitionistic Fuzzy Sets (IFSs), the notion of Intuitionistic Fuzzy Sets of Second Type (IFSST) was introduced. IFSST is a modified version of IFS for handling some problems in a reasonable manner. Type two Intuitionistic Fuzzy entropy (IFSST-entropy) measures the amount of ambiguity/uncertainty present in an IFSST. In the present paper, we introduce the concept of dual measure of IFSST-entropy, i.e., IFSST-knowledge measure. We develop some IFSST-knowledge measures and prove some of their properties. We also show the superiority of the proposed IFSST-knowledge measures through comparative study. Further, we demonstrate the application of the proposed knowledge measures in Multi-Criteria Decision-Making (MCDM).

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On Generalized Intuitionistic Fuzzy Knowledge Measure and its Application in MADM using Combined Weights

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b2186.078219 ◽

2019 ◽

Vol 8 (2) ◽

pp. 1536-1542

Keyword(s):

Decision Making ◽

Fuzzy Sets ◽

Intuitionistic Fuzzy Set ◽

Attribute Weights ◽

Intuitionistic Fuzzy ◽

Knowledge Measure ◽

Multi Attribute Decision Making ◽

Generalized Knowledge ◽

Fuzzy Knowledge

The role of the fuzzy sets is eminent in the study of the ambiguous type of information. Generalizations and extensions of fuzzy sets have led to a broader analysis of these types of researches. In this communication, we suggest a generalized knowledge measure of an intuitionistic fuzzy set (IFS). We compare several existing intuitionistic fuzzy entropies and knowledge measures with our proposed intuitionistic fuzzy (IF) knowledge measure which indicates that the proposed IF-knowledge measure has a greater ability in discriminating different IFSs. We also apply our proposed intuitionistic fuzzy knowledge measure in multi-attribute decision-making (MADM) problem by using combined weights i.e., objective and subjective attribute weights.

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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

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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.

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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.

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