A new algorithm for mutual funds evaluation based on multiple attribute decision making techniques

Kybernetes ◽  
2016 ◽  
Vol 45 (8) ◽  
pp. 1194-1212 ◽  
Author(s):  
Reza Alibakhshi ◽  
Mohammad Reza Sadeghi Moghadam
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Mutual Funds ◽  
Multiple Attribute Decision Making ◽  
Content Type ◽  
Assignment Method ◽  
Multiple Attribute ◽  
Wide Range ◽  
Points Of View ◽  
Linear Assignment

Purpose The purpose of this paper is to consider compromise solutions of multiple attribute decision-making methods (TOPSIS, VIKOR, and similarity-based approach) in order to evaluate and rank mutual funds and to compare the capabilities of different approaches based on the different traditional indices of mutual funds assessment. In addition, a new algorithm for ranking mutual funds was proposed subsequently. Design/methodology/approach In this research, three groups of indices including general, risk-modified performance evaluation, and risk-modified performance evaluation indices using semivariance were used in the mutual funds assessment, which led to the comparison between selected mutual funds, using three mentioned methods and three different groups of criteria. The results of this comparison were compiled and synthesized with linear assignment method. At the end, an algorithm for decision making and investing in mutual funds for professional and unprofessional investors was proposed. Findings Using different methods and different criteria proved that the results of similarity-based approach as a MADM technique have the ability to rank and evaluate mutual funds regardless of the criteria used compared to TOPSIS and VIKOR. Furthermore, the authors propose the algorithm of this research as a new model of mutual funds evaluation which considers a wide range of variables with respect to amateur and professional points of view. Originality/value The originality of this paper is threefold: first, different criteria were considered to make the evaluation more comprehensive. Second, four different approaches were used to make the results more authentic. Third, a holistic algorithm with its implication was proposed.

A multiple attribute decision making approach in evaluating employee care strategies of corporate social responsibility

2019 ◽  
Vol 57 (2) ◽  
pp. 349-371 ◽  
Author(s):  
Jau Yang Liu ◽  
William Shiue ◽  
Fu Hsiang Chen ◽  
Ai Ting Huang
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Industrial Relations ◽  
Health And Safety ◽  
Business Environment ◽  
Multiple Attribute Decision Making ◽  
Content Type ◽  
Multiple Attribute ◽  
Corporate Social

Purpose Corporate social responsibility has gradually become an essential enterprise responsibility under stakeholders’ expectations. Employee care strategies involve both qualitative and quantitative factors and are receiving special attention with the advent of the information age. In previous studies, a company’s policy of employee care may not fit with the needs of the employees. Consequently, the purpose of this paper is to investigate enterprises’ employee care from the employee’s perspective by adopting a hybrid multiple attribute decision making (MADM) model. Design/methodology/approach This study is based on 159 interviews with senior employees and/or department managers using a survey questionnaire. This study uses the MADM model to conduct the analysis. First, this research study used Decision-Making Trial and Evaluation Laboratory (DEMATEL) to construct an influential network relations map of the 4 dimensions and 13 criteria of employee care. Second, this study uses DEMATEL-based Analytic Network Process to conduct a weight analysis for each dimension and criterion. Third, this study uses VIKOR to calculate employees’ level of satisfaction as well as the gap from the “aspired level.” Findings The results of the study revealed the critical factors influencing employee care and proposed a systematic plan to be used as a reference for improvement. The improvement sequence revealed the following order: Equal employment opportunities→Good industrial relations and benefits→Responsibility to train and educate employees→Occupational health and safety. The empirical results showed there was still 35 percent room for improvement in the enterprises’ implementation policy of employee care. Originality/value The implementation of employee care has become an important issue for corporations since it helps to sustain and to increase an enterprise’s competitiveness in the business environment. However, the extant literature on employee care comes from enterprises’ perspectives instead of from employees’ perspectives. This research investigates the key factors of employee care and successfully shows MADM to be an effective model for the planning and implementation of corporate social responsibilities’ employee care from the perspective of employees.

Evaluation of a compact triangular crinkle-shaped multiband antenna with circular polarized for ITU band based on MADM method

Circuit World ◽  
2019 ◽  
Vol 45 (4) ◽  
pp. 292-299 ◽  
Author(s):  
Payam Beigi ◽  
Yashar Zehforoosh ◽  
Mirhamed Rezvani ◽  
Javad Nourinia
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Multiple Attribute Decision Making ◽  
Radiation Characteristics ◽  
Experimental Frequency ◽  
Content Type ◽  
Full Size ◽  
Multiband Antenna ◽  
Multiple Attribute ◽  
Monopole Antennas

Purpose This paper aims to present a new triangular crinkle-shaped multiband antenna for multiband operation. Design/methodology/approach This paper refers to increasing the number of resonance frequency by appending triangular crinkle. Experimental frequency results of the presented antenna are 1.60/2.80/4.00/5.80/7.12/8.32/10.06 GHz. Findings The triangular shaped antenna is manufactured on a low-priced FR-4 substrate with small size and tested. The reported antenna with full size 14 × 14 mm2 with a half elliptical ground sheet on the bottom plane of the substrate and a triangular crinkle strip patch in the front of the substrate. The reported antenna has dual polarized, by rectangular slits on the ground sheet can produce the CP radiation on ITU band. The radiation characteristics indicate the mentioned antenna plays good task for multiband structures. Simulation and measured consequences are in desirable agreement and refer to agreeable operation for the introduced antenna. Originality/value Also, an evaluation is done based on multiple attribute decision-making method for comparison the proposed monopole antenna with some previously presented multiband monopole antennas.

An estimation model of construction project segmentation for optimum project pricing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fang-Jye Shiue ◽  
Hsin-Yun Lee ◽  
Meng-Cong Zheng ◽  
Akhmad F.K. Khitam ◽  
Sintayehu Assefa
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Critical Issue ◽  
Multiple Attribute Decision Making ◽  
Estimation Model ◽  
Content Type ◽  
Proposed Model ◽  
Multiple Attribute ◽  
Bid Price ◽  
Construction Bids

PurposeFor large projects, project segmentation and planning the size of contract packages in construction bids is a complex and critical issue. Due to the nature of construction projects, which frequently have large budgets, long durations and many activities with complex procedures, project segmentation involves complicated decision-making. To fill this gap, this study aims to develop an integrated model for planning project segmentation.Design/methodology/approachThe proposed model integrates a simulation and multiple attribute decision-making method. The simulation is used to evaluate the bidding outcome of various project segmentations. The owner can then determine the bid-price behavior of contractors in response to varying work package sizes. The multiple attribute decision-making method is used to select the optimal segmentation solution from the simulated scenarios.FindingsThe proposed model is applied to a large road preservation project in Indonesia and incorporates bid participants and market conditions. The model provides seven scenarios for segmentation. The range of scenarios captures increasing competitiveness in the construction with the average bid price becoming gradually more beneficial for the owner. The model also utilizes a multiple attribute decision-making method to select the optimum scenario for the owner.Originality/valueThis study presents an applicable model for project segmentation that is useful for both project owners and contractors. By utilizing the proposed model, a project owner can segment a large project into smaller contract packages to create improved project pricing.

Multiple attribute decision making method based on DEMATEL and fuzzy distance of trapezoidal fuzzy neutrosophic numbers and its application in typhoon disaster evaluation

2020 ◽  
Vol 39 (3) ◽  
pp. 3413-3439 ◽  
Author(s):  
Ruipu Tan ◽  
Wende Zhang
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Fuzzy Distance ◽  
Attribute Weights ◽  
Assignment Method ◽  
Multiple Attribute ◽  
Disaster Assessment ◽  
Decision Making Processes ◽  
Multi Attribute Decision Making ◽  
Typhoon Disaster

 Trapezoidal fuzzy neutrosophic decision making plays an important role in decision-making processes with uncertain, indeterminate, and inconsistent information. In this paper, we propose a new multi-attribute decision-making method based on decision-making trial and evaluation laboratory (DEMATEL), fuzzy distance, and linear assignment method (LAM), and we express evaluation values as the trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, attribute weights are obtained using the DEMATEL method and the new fuzzy distance of TrFNNs based on graded mean integration representation is defined. Then, alternatives are ranked using the LAM in operations research. In addition, we make two comparative analyses in the end to illustrate the feasibility and rationality of our method. Finally, an illustrative example about typhoon disaster assessment is presented to show the advantages of the proposed method.

scholarly journals Intuitionistic Fuzzy Dombi Hybrid Decision-Making Method and Their Applications to Enterprise Financial Performance Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Chiranjibe Jana ◽  
G. Muhiuddin ◽  
Madhumangal Pal ◽  
D. Al-Kadi
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Financial Performance ◽  
Multiple Attribute Decision Making ◽  
Intuitionistic Fuzzy ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Multiple Attribute ◽  
Operational Data ◽  
Recent Attention

In the era of the knowledge-based economy, the active branch of information technology plays a crucial role. The enterprise administration covers efficient changes, and it has been entered in the age of reasonable management argument. The standard enterprise financial review evaluation centers on the importance of bondholders. The investor takes operational data as an issue and pays surveillance to the study of material attraction and the result. Otherwise, it is not intelligent to adjust in a modern marketplace period. Therefore, enterprise financial directing the interests of shareholders and business policies that are taking into account stakeholders’ needs is continually investigated in the future lively competition. In that view, accumulating data is an essential research tool to draw the researchers’ recent attention during the knowledge investigation. In this research, multiple attribute decision-making (MADM) approach has been proposed for the enterprise financial performance evaluation. To this view, financial performance evaluation has been done with intuitionistic fuzzy arguments. We apply new Dombi hybrid operators such as the intuitionistic fuzzy Dombi hybrid average (IFDHWA) operator and intuitionistic fuzzy Dombi hybrid geometric (IFDHWG) operator. These operators have a good advantage of adaptability in the working parameter. Finally, a realistic instance for enterprise financial performance is reported following comment on the benefit or utility of the recommended output.

Ranking products with IF-based sentiment word framework and TODIM method

Kybernetes ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 990-1010 ◽  
Author(s):  
Chong Wu ◽  
Dong Zhang
Keyword(s):  
Decision Making ◽  
Online Reviews ◽  
Multiple Attribute Decision Making ◽  
Weighted Averaging ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Sentiment Score ◽  
Use Of Knowledge ◽  
Sentiment Word

Purpose The purpose of this paper is to rank products by combining sentiment analysis (SA) and multiple attribute decision-making (MADM). Design/methodology/approach This research constructs intuitionistic fuzzy (IF)-based sentiment word framework and corresponding computation rules, which aim to calculate the sentiment score of each sentiment phase. Based on intuitionistic fuzzy weighted averaging operator, the authors aggregate the overall performance of each feature for different products. Then, the MADM method can be used, TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) in this paper, to rank product through online reviews. Findings The results of the research show the superiority and applicability of proposed method in ranking products with online reviews. Originality/value This paper proposes IF-based sentiment word framework and corresponding computation rules, which is a novel idea to express both the sentiment orientations (positive, negative and neutral) and emotional intensities. In addition, this research makes full use of knowledge from both experts and online reviewers. Further, attention degree of each feature is considered in the process of calculating weight of different features, which is rarely seen in current studies. This paper makes full use of SA, fuzzy control theory and MADM theory to handle vague information (online comments) and rank alternative products, which can promote future perspectives and developments.

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