Study on Ship Form Technical and Economic Evaluation DS Based on Interactive MCDM

2006 ◽  
Author(s):  
Sang Song ◽  
Li-Hua Jun
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Accurate Result ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Least Square ◽  
New Method ◽  
Decision Systems ◽  
Complex Decision ◽  
Hierarchy Process

A new method of interactive Multiple Criteria Decision Making (MCDM) is presented. In order to settle the problem that in the cases for the ship designers sometimes it is difficult to make a decision when facing so complex ship form schemes. The conventional AHP (Analytical Hierarchy Process) is adopted, but it mostly depends on the designer’s subjective and leads to the systematic error. The new method can obtain the accurate result with the rigid least square method as a tool, making full use of the AHP and the objective information entropy, which reflects the inherent attribute. When applied in the practice, it is proved to be effective, practical and dependable for future ships’ complex Decision Systems (DS).

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2010 ◽  
Vol 1 (4) ◽  
pp. 56-75 ◽  
Author(s):  
Sarojini Jajimoggala ◽  
V.V.S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

Modeling Gender Based Customer Preferences of Information Search Channels

2018 ◽  
pp. 622-638
Author(s):  
Gaurav Khatwani ◽  
Praveen Ranjan Srivastava
Keyword(s):  
Decision Making ◽  
Information Search ◽  
Multiple Criteria Decision Making ◽  
Integrated Approach ◽  
Customer Preferences ◽  
Business Operations ◽  
Wide Range ◽  
Complex Decision ◽  
Gender Based ◽  
Hierarchy Process

The disparity in consumer and organization preferences of information channels is a major concern. Further, making decisions in the presence of a wide range of conflicting criteria through the use of a multiple criteria decision-making (MCDM) approach has gained increased prominence in recent years and research in this area has become an important consideration for business operations that involve dealing with complex decision problems. This paper describes how an integrated approach can be applied to a decision-making problem that combines a fuzzy analytical hierarchy process (AHP) and TOPSIS for identifying preferences consumers of information search channels according to demographic factors such as gender.

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2012 ◽  
pp. 256-275
Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

Research on Evaluation of Group-Buying Website Based on FAHP

2011 ◽  
Vol 204-210 ◽  
pp. 1588-1593 ◽  
Author(s):  
Shou Ming Chen ◽  
Ru Li
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Group Buying ◽  
Research On Evaluation ◽  
Hierarchy Process

The group-buying online, a boom of e-commerce phenomenon, expands rapidly in China. Hence, the evaluation of group-buying website is essential for CEO to improve their website performance and for consumers to select the platform to purchase. However, the evaluation of group-buying website is a multiple-criteria decision making (MCDM) problem that is not easy to determine. For this reason, we propose analytical hierarchy process based approaches Fuzzy AHP, to evaluate the group-buying websites. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

scholarly journals Penerapan Multiple Criteria Decision Making untuk Pemilihan Dosen Prestasi

Techno Com ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 48-60
Author(s):  
Tri Widayanti
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Ideal Solution ◽  
Hierarchy Process

Dengan adanya penyelenggaraan pemilihan dosen berprestasi di tingkat nasional, maka diharapkan setiap perguruan tinggi terdorong untuk memiliki sistem penghargaan yang terprogram bagi dosen yang memiliki prestasi tinggi dalam pelaksanaan tridarma perguruan tinggi. Dalam pemilihan dosen berprestasi tersebut sering muncul subyektifitas para pengambil keputusan.Tujuan dari penelitian ini adalah dengan penunjang keputusan, pengambilan keputusan akan lebih objektif dalam memilih dosen berprestasi. Penelitian Multiple Criteria Decision Making dilakukan dengan menggunakan 2 metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order by Similarity to Ideal Solution (TOPSIS). AHP digunakan untuk menentukan bobot kepentingan dari setiap kriteria dan sub kriteria penilaian dosen berprestasi, kemudian TOPSIS digunakan untuk memilih alternatif dosen berprestasi yang memerlukan pertimbangan. Hasil penelitian  menunjukkan bahwa AHP dan TOPSIS dapat digunakan sebagai pendukung pembuat keputusan yang multi kriteria dan memerlukan banyak pertimbangan dalam pemilihan dosen berprestasi di perguruan tinggi. Metode AHP dan TOPSIS dapat membedakan dengan jelas  berdasarkan nilai preferensi yang dihasilkan sehingga memberikan keputusan yang objektif.

scholarly journals Develop a Comprehensive System for Prioritizing Employment Risk with the Use of Multi-Criteria Decision making approach (Technique Analytical Hierarchy Process)

2016 ◽  
Vol 11 (1) ◽  
pp. 204
Author(s):  
Homa Pouresfandyani ◽  
Sara Najiazarpour
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Quantitative Risk Assessment ◽  
Comprehensive System ◽  
Multi Criteria Decision Making ◽  
Risk Management Process ◽  
Efficiency And Effectiveness ◽  
Control And Prevention ◽  
Hierarchy Process

This study has tried to detailed quantitative risk assessment methods and techniques Analytical Hierarchy Process (AHP) experts extracting, classifying and structuring them in addition to showing how to use techniques such as multi-criteria decision making technique AHP development a comprehensive system for prioritizing risk job of great importance. The output of this research as a decision support system in addition to the ease with which managers make decisions about the accuracy of decisions, it is recommended they are assured of multiple criteria decision making use of techniques to managers in the risk management process macro projects and organizations, to ensure the efficiency and effectiveness of corrective actions, control and prevention strategies to reduce and control risks in the workplace and promising career cut irreparable effects for the organization and what they do for the community.

A Multiple Criteria Decision Method for Selecting Maritime Search & Rescue Scheme

2012 ◽  
Vol 229-231 ◽  
pp. 2334-2338 ◽  
Author(s):  
Chuan Fu Guo ◽  
Shan Bin Zhang ◽  
Ying Shuai Jiang
Keyword(s):  
Decision Making ◽  
Least Square Method ◽  
Least Square ◽  
Analytic Hierarchy ◽  
Fuzzy Delphi ◽  
Priority Weights ◽  
Expert’S Opinion ◽  
Judgment Matrix ◽  
Hierarchy Process ◽  
Selection Of

The evaluation and selection of Search And Rescue (SAR) schemes is one of the most important decision issues for maritime SAR. Owing to vague concept frequently represented in decision data, a group fuzzy multi-criteria decision-making approach is proposed to solve the SAR scheme optimal selection problem. In the proposed method, the experts’ opinions are described by trapezoidal fuzzy numbers, and the fuzzy Delphi method is adopted to adjust each expert’s opinion to achieve the consensus condition. By using the logarithmic least square method and trapezoidal fuzzy number arithmetic operations to estimate the normalized fuzzy priority weights, Analytic Hierarchy Process (AHP) is presented and consequently the consistency check of fuzzy judgment matrix is avoided. The results of simulation show that the method is flexible and credible and provides references in intelligent SAR decision-making.

scholarly journals Modelling decision support system for selection maahad tafiz center using analytical hierarchal analysis

2019 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Abd R Mama Mama ◽  
Mohamad A Mohamed ◽  
Amirul F Azhar ◽  
Syarilla I A Saany ◽  
Norkhairani A Rawi ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Future Development ◽  
Analytical Hierarchy Process ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Hierarchy Process ◽  
Very High

<p>Today, the interest of the community to send their children to religious-based schools that is Maahad Tahfiz Center (MTC)) whether managed by Government (State or Federal), private individuals, nonprofit organization (NGO) or certain organizations is very high. The demand that exceeds this offer has seen the growth of MTC rapidly. This situation provides many choices and advantages to parents. However, there is anxiety among parents to choose the MTC that fulfills the features that they want.  Hence modeling decision support system (DSS) in a MTC selection has been modeled using Analytical Hierarchy Process (AHP) provides the effective way for parents to select appropriate MTC. AHP is an effective tool for dealing with the complex decision making and aid the parents to set priorities and provide the best decision in selection MTC. Hopefully by using this model and future development of this model will help the parents make the best choices of MTC based on their preferences. </p>

scholarly journals Evaluation of traffic congestion degree: An integrated approach

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771772316 ◽  
Author(s):  
Nannan Hao ◽  
Yixiong Feng ◽  
Kai Zhang ◽  
Guangdong Tian ◽  
Lele Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Traffic Congestion ◽  
Multiple Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Gray Correlation ◽  
Order Preference ◽  
Correlation Techniques ◽  
Hierarchy Process

Intersection traffic congestion evaluation is essential for effective intelligent transportation system planning, and an objective and precise assessment of traffic congestion is vital to ensure the smooth circulation of traffic. Multiple criteria decision-making is a method for evaluating the degree of traffic congestion. A hybrid multiple criteria decision-making method integrating the fuzzy analytic hierarchy process, techniques for order preference by similarity to an ideal solution, and gray correlation techniques are presented in this work. The proposed method applied fuzzy analytic hierarchy process to determine the weight of the evaluation index; subsequently, gray correlation techniques for order preference by similarity to an ideal solution were integrated to construct the hybrid decision-making method. A case study of traffic congestion at intersections with five evaluation indexes verified the effectiveness of the hybrid method. The evaluation results of the different methods show that the proposed method overcomes the one-sidedness of analytical hierarchy process–techniques for order preference by similarity to an ideal solution and analytical hierarchy process–gray correlation. Thus, the proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the degree of traffic congestion.

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