scholarly journals EVALUATING THE COMPREHENSIVE IMPACTS OF TOURISM IN HAINAN BY INTERGRATING INPUT-OUTPUT MODEL WITH MCDM METHODS

2020 ◽  
Vol 26 (5) ◽  
pp. 989-1029
Author(s):  
Ping-Ping Lin ◽  
Deng-Feng Li ◽  
Bin-Qian Jiang ◽  
Gao-Feng Yu ◽  
An-Peng Wei
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Entropy Theory ◽  
Input Output ◽  
Economic Dimension ◽  
Four Dimensions ◽  
Criterion Weight ◽  
System 2 ◽  
Overall Performance

To evaluate the comprehensive impacts of tourism in Hainan, this paper proposes an approach integrating input-output (IO) model with multi-criteria decision making (MCDM) methods. Four steps are taken: (1) constructing an extended IO model that can separate out domestic and imported effects from the traditional IO system; (2) constituting a 3-level evaluation criteria hierarchy based on various tourism multipliers obtained from the extended IO model; (3) calculating the weights of criteria using the entropy theory; (4) giving an evaluation of comprehensive impacts of tourism based on four MCDM methods – WSM, TOPSIS, ELECTRE, and PROMETHEE. Using Hainan 2002, 2007, and 2012 IO tables as database, the proposed approach is implemented in the empirical study of Hainan. The results show economic dimension is the most important consideration and the overall performance of tourism in Hainan shows a trend of first increasing and then decreasing from 2002 to 2012. Two types sensitivity analysis of weights show single criterion weight change has little influence on the results. But it is different when four dimensions weights change. Especially, when the environmental dimension is valued, the overall performance gets worse annually. These findings can offer insightful policies for the development of Hainan’s tourism.

scholarly journals SOFTWARE SELECTION ON BASE OF SUGENO INTEGRAL

World Science ◽  
2020 ◽  
Author(s):  
Vagif Salimov
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Mutual Influence ◽  
Evaluation Criteria ◽  
Fuzzy Measure ◽  
Multi Criteria Decision Making ◽  
Main Difficulty ◽  
Software Selection ◽  
Sugeno Integral ◽  
Theory Of Fuzzy Sets

The article is devoted to the problem of  software selection. As a rule, this tasks are formalized as models of multi-criteria decision making (MCDM). The peculiarity of this problem is in the fact that the evaluation criteria , is generally defined by linguistic expert. This requires the use of special methods, in particularly, the theory of fuzzy sets. To solve the problem, an approach based on the  a fuzzy measure  was used . In general, a fuzzy measure allows one to take into account the effect of the mutual influence of criteria. The main difficulty lies in identifying this measure. The fuzzy Sugeno measure and  Sugeno integral were used. An example of solving the indicated problem is given.

scholarly journals SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING

2013 ◽  
Vol 14 (5) ◽  
pp. 957-978 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini ◽  
Mohammad Majid Fouladgar ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Criteria ◽  
Energy Resources ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proposed Model ◽  
Negative Ideal Solution ◽  
Hierarchy Process ◽  
The Ideal

Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.

scholarly journals A MODIFIED MCDM ALGORITHM WITH CUMULATIVE ENTROPY WEIGHTS FOR SELECTING THE WINNER OF THE TENDER

2019 ◽  
pp. 46-51
Author(s):  
A. O. Matin ◽  
F. Misagh
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Specific Weight ◽  
Multi Criteria Decision Making ◽  
Efficient Management ◽  
Research Findings ◽  
Utility Rate ◽  
Input Variables ◽  
Decision Making Model ◽  
Cumulative Entropy

The aim of this research is to evaluate the proposed bids using impartial and entropy weights in a multi-criteria decision-making model. We use matrix data for hypothetical bidding involving nine criteria, with the presence of four domestic and two foreign contractors. Then, using cumulative entropy function, we estimate the entropy weights and use it in a multi-criteria decision-making model. The criteria of experience and knowledge in the field, good history and satisfaction in previous projects, financial and support capabilities, localization of the contractor, having the experience at the site of the project, availability and readiness of equipment and machines, the adequacy of technical staff, the work quality system, the efficient management and appropriate management system, creativity and innovation in similar tasks are the input variables of the decision model. After analyzing them, the proposals are prioritized through a multi-criteria decision-making model. The research findings include Shannon entropy and cumulative entropy-based weights for evaluation criteria and after applying the specific weight for the proposed quotation, the utility rate of each contractor is calculated. The results showed that the use of modified multi-dimensional decision-making method is more advantageous than traditional methods of evaluating bidding proposals in selecting the winner of a tender, and also using cumulative entropy weights in comparison with Shannon's leads to a more realistic choice of contractors.

scholarly journals DEVELOPMENT OF A NEW HYBRID MULTI CRITERIA DECISION-MAKING METHOD FOR A CAR SELECTION SCENARIO

2020 ◽  
Vol 18 (3) ◽  
pp. 357 ◽  
Author(s):  
Yousaf Ali ◽  
Bilal Mehmood ◽  
Muhammad Huzaifa ◽  
Umair Yasir ◽  
Amin Ullah Khan
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Evaluation Criteria ◽  
Secondary Data ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
The People ◽  
Topsis Approach ◽  
And Performance ◽  
Hierarchy Process

Increasing competition in the automobile industry has led to a vast variety of choices when buying a car thus making car selection a tedious task. The objective of this research is to develop a new hybrid multi-criteria decision-making technique, with accuracy greater than that of the already existing methods, in order to help the people in decision-making while buying a car. Hence, considering a broader spectrum, this study aims at easing the process of multi-criteria decision-making problems in different fields. To achieve the objective, seven different alternatives were evaluated with respect to the enlisted evaluation criteria, which were selected after analyzing the secondary data obtained from Pak wheels based on style, fuel economy, price, comfort and performance. These criteria were then analyzed using the proposed Full Consistency Fuzzy TOPSIS method. As the name tells, this method is a unique combination of two techniques. The Full Consistency method is used to calculate the weights of the criteria while the Fuzzy TOPSIS approach is applied to rank the alternatives according to their scores in the selected criteria. The outcomes demonstrate an increase in the consistency ratio of the weight coefficients due to which the ranking of the alternatives by the FCF-TOPSIS is more accurate than the TOPSIS and the Analytical Hierarchy Process. The novelty of the method lies in the fact that this combination has not been used for an alternative selection scenario before. In addition to this, it can be used in various industries where a choice between the available alternatives arises based on a set of evaluation criteria.

Proposal of the Integrated Geothermal Centre Model and its Allocation

2014 ◽  
Vol 708 ◽  
pp. 53-58
Author(s):  
Daniela Marasová ◽  
Jana Jablonská ◽  
Miriam Andrejiová ◽  
Slavomír Drevko
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making

The main aim of this article is to propose a model of an integrated geothermal spa resort and its allocation using multi-criteria decision making. Proposal for allocation of mentioned spa resort is defined on the basis of the evaluation criteria.

scholarly journals Multi-Criteria Decision-Making Approach for Selecting Wind Energy Power Plant Locations

2019 ◽  
Vol 11 (21) ◽  
pp. 6112 ◽  
Author(s):  
Ateekh Ur Rehman ◽  
Mustufa Haider Abidi ◽  
Usama Umer ◽  
Yusuf Siraj Usmani
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Wind Energy ◽  
Green Technology ◽  
Energy Industry ◽  
Multi Criteria Decision Making ◽  
Gulf Region ◽  
Technology Innovations ◽  
Gulf Countries ◽  
Criterion Weight

In pursuit of green technology innovations, the energy industry is showing an interest in sustainable sources such as wind energy generation. The Saudi Arabian energy industry has a 2030 target to generate and transmit electricity to major customers nationwide and other neighboring Gulf countries. However, the selection of wind energy power plant locations is a concern because the decision process involves social, technological, economical, and environmental factors. The originality of this study lies in (1) proposing an integrated quantitative and qualitative multi-criteria decision making framework for selecting wind-energy power plant locations; (2) applying the proposed framework in the context of the energy industry in a gulf region country and investigating expert-based and entropy-based criterion weight assignments; (3) choosing five possible alternative wind energy power plant locations with 17 response criteria for each alternative to help decision makers identify the best possible alternative; and (4) establishing the superiority of one alternative over another (if it exists). The presented approach extends considerable support to the comparing and ranking of alternatives along with its validation and sensitivity analysis. Based on the proposed multi-criteria decision-making approach, an appropriate wind energy power plant location has been successfully selected among the five alternatives.

scholarly journals A Hybrid Multi-Criteria Decision-Making Model for Evaluating Companies’ Green Credit Rating

2019 ◽  
Vol 11 (6) ◽  
pp. 1506 ◽  
Author(s):  
Chia-Chen Yang ◽  
Shang-Ling Ou ◽  
Li-Chang Hsu
Keyword(s):  
Decision Making ◽  
Credit Rating ◽  
Technology Development ◽  
Social Performance ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Social Progress ◽  
High Tech ◽  
Multi Criteria Decision Making ◽  
Credit Evaluation

Along with economic development and social progress, environmental issues are increasingly becoming the subject of public concern. Through green credit, banks intentionally direct money into resource-conserving technology development and environmental protection industries, thus, encouraging enterprises to focus on green products. Therefore, establishing a reasonable green credit evaluation mechanism for banks is an important issue. Based on this, this study combines grey relational analysis (GRA), the Decision-Making Trial and Evaluation Laboratory technique (DEMATEL), analytic network process (ANP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to develop a hybrid multi-criteria decision-making (MCDM) model for quantifying data and, thereby, to establish a green credit rating mechanism. In order to verify the model, this study combines credit risk and economic, environmental and social performance evaluation criteria as green credit evaluation criteria. There are 55 high-tech listed companies in Taiwan in 2014 taken as the evaluation objects and conducted for a performance ranking. The empirical results can serve as a reference for financial authorities promoting green finance policies and for investors making investment decisions.

The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models

2020 ◽  
Vol 8 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Ilham Huseyinov ◽  
Feride Savaroglu Tabak
Keyword(s):  
Decision Making ◽  
Computer Algebra ◽  
Subjective Evaluation ◽  
Evaluation Criteria ◽  
Qualitative Evaluation ◽  
Evaluation Procedure ◽  
Computer Algebra Systems ◽  
Multi Criteria Decision Making ◽  
Order Preference ◽  
Mathematical Formulas

The main purpose of this study is to present a systematic methodology based on fuzzy Multi-Criteria Decision-Making (FMCDM) models to help users evaluate computer algebra systems (CAS). CAS is a software package for the manipulation of mathematical formulas. The suggested methodology is user-centred which involves users' subjective evaluation judgments. User judgments are represented by means of fuzzy linguistic modelling techniques. An evaluation criteria framework based on the concept of the usefulness of CAS is developed. Next, two FMCDM models – fuzzy Analytical Hierarchy Process (FAHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) are proposed for the evaluation procedure. The FAHP is applied to determine the relative importance weights of qualitative evaluation criteria; the FTOPSIS is applied to rank the CAS alternatives. The illustrated case study demonstrates the applicability and effectiveness of the proposed methodology.

scholarly journals A HYBRID MCDM MODEL ENCOMPASSING AHP AND COPRAS-G METHODS FOR SELECTING COMPANY SUPPLIER IN IRAN

2012 ◽  
Vol 18 (3) ◽  
pp. 529-543 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
I-Shuo Chen ◽  
Nahid Rezaeiniya ◽  
Jolanta Tamošaitienė
Keyword(s):  
Decision Making ◽  
Functional Ability ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Delivery Reliability ◽  
Distance Delivery ◽  
Technology Level

This paper is aimed at utilizing a hybrid multi-criteria decision making (MCDM) model for selecting a supplier. First, eight evaluation criteria, including cost, quality, distance, delivery reliability, reputation, technology level, compatibility and development ability are identified. The A nalytic H ierarchical P rocess (AHP) is initially used for calculating the weight of each criterion. The CO mplex PR oportional AS sessment of alternatives to G rey relations (COPRAS-G method) is adopted for ranking and selecting suppliers. In order to illustrate the functional ability of the developed model, Kalleh Company is chosen as a case study and can be used as a pattern for supplier selection and future researches.

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