The integration information entropy method for the hybrid multi-attribute decision-making

This study proposes a multi-attribute decision making based approach for product design concept evaluation and selection. The technique for order preference by similarity to ideal solution (TOPSIS) is combined with fuzzy sets and information entropy. While the fuzzy sets theory is employed to capture the associated vagueness in the expert judgment, the combination of information entropy method with multi-attribute decision making makes the approach computationally efficient. We present the results of the evaluation of design concepts which demonstrate the feasibility and practicability of the approach. The proposed approach will result in considerable time and cost saving by identifying the most promising product design concepts and short-listing for further design and development activities.

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Three-Parameter Interval Grey Number Multi-Attribute Decision Making Method Based on Information Entropy

Mathematical and Computational Applications ◽

10.3390/mca21020017 ◽

2016 ◽

Vol 21 (2) ◽

pp. 17 ◽

Cited By ~ 2

Author(s):

Sha Fu

Keyword(s):

Decision Making ◽

Information Entropy ◽

Multi Attribute Decision Making ◽

Parameter Interval ◽

Grey Number

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Suatu Pendekatan Hibrid Menggunakan Topsis - Entropi pada Penentuan Siswa Penerima Beasiswa Prestasi Berbasiskan Kriteria Objektif

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.0814261 ◽

2021 ◽

Vol 8 (1) ◽

pp. 167

Author(s):

Maria Ulfah Siregar ◽

Titik Nasiroh ◽

Muhammad Mustakim

Keyword(s):

Decision Making ◽

Economic Condition ◽

Hybrid Approach ◽

Entropy Method ◽

Ideal Solution ◽

A Value ◽

Economic Difficulty ◽

Order Preference ◽

Multi Attribute Decision Making ◽

Negative Ideal Solution

Kondisi ekonomi Indonesia yang turun seiring pandemi Covid-19 yang belum juga berakhir menyebabkan sebagian masyarakat menghadapi kesulitan ekonomi dalam pemenuhan kebutuhan hidup sehari-hari, salah satunya adalah dalam pembiayaan sekolah anak. Salah satu solusi bagi permasalahan ini adalah dengan pemberian beasiswa bagi siswa. Keterbatasan dana beasiswa ditambah dengan siswa yang berhak menerima bantuan adalah berjumlah banyak, menghendaki adanya suatu sistem yang dapat membantu dalam penentuan siswa penerima beasiswa. Penelitian kami menerapkan pendekatan hibrid dari Multi-Attribute Decision Making (MADM) metode Entropi dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Metode Entropi digunakan untuk memberikan pembobotan pada kriteria secara objektif. Metode TOPSIS mencari alternatif terbaik dari sejumlah alternatif, yaitu yang semakin mendekati solusi ideal positif dan menjauhi solusi ideal negatif. Penelitian ini diimplementasikan di SMP N 1 Kokap Yogyakarta dengan menggunakan data siswa kelas 8 sejumlah 146 orang siswa. Terdapat sepuluh kriteria untuk menentukan siswa penerima beasiswa prestasi yaitu nilai pengetahuan, nilai keterampilan, catatan prestasi, keaktifan berorganisasi, jumlah ekstrakurikuler, jumlah ketidakhadiran, penghasilan ayah, penghasilan ibu, jumlah tanggungan orang tua dan status beasiswa. Berdasarkan sebaran dari evaluasi nilai kriteria dengan perhitungan bobot Entropi tanpa menggunakan bobot awal dari sekolah, diperoleh bahwa kriteria catatan prestasi adalah kriteria utama dalam penentuan siswa penerima beasiswa ini dan semua kriteria adalah valid. Output dari sistem ini adalah ranking siswa berdasarkan nilai preferensinya. Pe-ranking-an ini bisa dijadikan sebagai rekomendasi siswa penerima beasiswa prestasi di SMP N 1 Kokap. AbstractEconomic condition in Indonesia which is gradually decreased during Covid-19 pandemic which has not stopped yet causes some of citizens face economic difficulty in fulfilling their daily life, one of which is to pay their children’ school fees. One solution for this problem is to provide scholarship for students. The limited money for scholarship and students who are eligible to get the aids are many in number require a system which can ease in determining the merit scholars objectively. This study applies the hybrid approach of Multi-Attribute Decision Making (MADM) method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Entropy. Entropy method is used to define objectively a weight of each criteria. TOPSIS method finds the best alternative from several alternatives that getting closer to the positive ideal solution and farther from the negative ideal solution. This study is implemented in SMP N 1 Kokap Yogyakarta and use data of 146 students on Kelas 8. There are ten criteria to determine merit scholars, these are a value of knowledge, a value of skills, a record of merits, organizational activities, the number of extracurriculars, for the number of absences, father's income, mother's income, the number of dependents of parents and scholarship status. Based on disperity of evaluation of criteria’ values, the achievements record is the important criteria for this system and all the criteria are valid. The result of this system is a rank of students based on their preference values. This rank could be used as a reference to recommend merit scholars in SMP N 1 Kokap.

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Entropy method of determining the attribute weights of interval numbers based on relative superiority

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-204730 ◽

2021 ◽

pp. 1-8

Author(s):

Lin Li ◽

Tiejun Ci ◽

Xiaoyu Yang ◽

Heng Du ◽

Haocan Ma ◽

...

Keyword(s):

Decision Making ◽

Basic Principle ◽

Multiple Attribute Decision Making ◽

Entropy Method ◽

Interval Numbers ◽

Attribute Weights ◽

Multiple Attribute ◽

Multi Attribute Decision Making ◽

Judgment Matrix ◽

Train Of Thought

In view of the multi-attribute decision making problems which the attribute values are in the forms of interval numbers, the paper presents an entropy method to obtain the attribute weights using the relative superiority concept. Firstly, the concept of this kind of problem is explained; Then in the light of the basic principle of the traditional entropy value method and train of thought, it given the calculation steps of weights using the relative superiority about the attribute value is interval number multiple attribute decision making problems. Its core is that relative superiority judgment matrix is obtained by comparing with two sets of interval numbers under the same indicator, which the group of interval numbers is equivalently mapped to the exact value form with the merits of relationship, then the weights of each indicator are calculated. Finally, the method is illustrated by giving an example.

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An Improved Close Value Method for Multi-Sensor Object Recognition

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.707.487 ◽

2014 ◽

Vol 707 ◽

pp. 487-490

Author(s):

Chang Qing Zhang

Keyword(s):

Decision Making ◽

Object Recognition ◽

Information Fusion ◽

Information Entropy ◽

Recognition Method ◽

Multi Attribute Decision Making ◽

Sensor Information

Multi-sensor information fusion problem contains many characteristic indexes, and thus it can be resolved using a multi-attribute decision making method. Information entropy is used to objectively determine the attributes weights, and thus it can overcome the subjective randomness. The aim of this paper is to develop a new multi-sensor object recognition method based on close value method. The example of part recognition proves that the proposed method is both feasible and effective.

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An Improved Method for Solving Multi-Attribute Problem in Transportation Mode Decision Making Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1030-1032.1961 ◽

2014 ◽

Vol 1030-1032 ◽

pp. 1961-1965

Author(s):

Bao Shan Lin ◽

Yan Bin Fan

Keyword(s):

Decision Making ◽

Multiple Attribute Decision Making ◽

Entropy Method ◽

Topsis Method ◽

Transportation Mode ◽

Multiple Attribute ◽

Decision Making Problem ◽

Multi Attribute Decision Making ◽

Time Price ◽

Transportation Activity

In logistics activities, the choice of the transportation mode involves time, price, safety, and many other factors, it is a typical multi-attribute decision making problem. Traditionally, we usually adopt a certain decision-making method to solve such problems, but the resulting solution is often difficult to achieve our desired results. This article tries to combine AHP, information entropy method and the TOPSIS method to solve the multiple-attribute decision making problems in the process of transportation activity, and finally a case is given.

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PT-MARCOS multi-attribute decision-making method under neutrosophic cubic environment

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-211189 ◽

2021 ◽

pp. 1-11

Author(s):

Jianping Fan ◽

Shanshan Zhai ◽

Meiqin Wu

Keyword(s):

Decision Making ◽

Bounded Rationality ◽

Attenuation Factor ◽

Entropy Method ◽

Decision Makers ◽

Neutrosophic Set ◽

Compromise Solution ◽

Decision Making Problem ◽

Multi Attribute Decision Making ◽

Gains And Losses

Neutrosophic cubic set (NCS) can process complex information by combining interval neutrosophic set and single-valued neutrosophic set. It can simultaneously describe the uncertain and certain part of information. Prospect theory (PT) is based on bounded rationality and can reflect decision maker’s different risk attitudes to gains and losses. Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method can measure and rank the alternatives according to compromise solution. Considering the bounded rationality of decision makers and compromise solution of alternatives, this paper combines the PT with MARCOS method to neutrosophic cubic environment to solve multi-attribute decision-making problem. First, the theoretical basis of NCS is introduced. Second, the PT and MARCOS method are combined. To reflect subjective views of decision makers and the objectivity of decision-making information, this paper uses geometric average method to combine subjective weights (calculated by the best-worst method) and objective weights (calculated ed by the entropy method). Then, the PT-MARCOS method is applied to a decision-making problem. Further,a sensitivity analysis is conducted to study the influence of different attenuation factor values and different expectation coefficient on the ranking; and through comparative analysis to illustrate the superiority of the PT-MARCOS method. Finally is the conclusion.

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