An Analytical Approach for Decision-Making

2018 ◽  
Vol 2 (3) ◽  
pp. 114
Author(s):  
Sakshi Aggarwal ◽  
Shrddha Sagar
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Domain Experts ◽  
Multiple Parameters ◽  
The Media ◽  
Analytical Tools ◽  
Hierarchy Process ◽  
Selection Of

In this complex world, coping with daily problems is quite tedious. The more advancement in technology means more difficulties in decision-making process. Hence some analytical tools are needed to deal with improvement in decisions being made. A classic AHP model enables us to make efficient decision by reducing the complex issues. It takes multiple parameters into consideration. One of the area where decision-making is quite a tough job is Politics. Selection of the electoral party in any elections, be it Lok Sabha elections or Rajya Sabha elections, has been a matter of discussion for the voters as well as the media. The decisions are reflected when uncertainties are added in the opinions of the domain experts due to multiple parameters.  In this paper we have proposed a model for rectifying the uncertainties using multi criteria decision analysis and analytic hierarchy process (AHP).

Research on High-Speed Railway Line Selection Based on Analytic Hierarchy Process

2014 ◽  
Vol 577 ◽  
pp. 1061-1064
Author(s):  
Feng Zhang ◽  
Xin Di Wang ◽  
Fu Shen Sheng
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
High Speed ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
High Speed Railway ◽  
Railway Line ◽  
Line Selection ◽  
Hierarchy Process ◽  
Selection Of

This paper mainly introduces the use of judgment and the decision-making process of Analytic Hierarchy Process (AHP) to solve the choice of railway line. From the aspects of economy, technology, environment and society, we determine the factors that influence the selection of railway line. Through the application of Analytic Hierarchy Process (AHP), we analyzed the problems.

scholarly journals ЗНАЧАЈ РАЗЛИЧИТИХ ФАКТОРА АТРАКТИВНОСТИ У ЛЕТЊИМ ТУРИСТИЧКИМ ДЕСТИНАЦИЈАМА ЗА ТУРИСТЕ

TEME ◽  
2017 ◽  
pp. 687
Author(s):  
Александар Ђорђевић ◽  
Бојан Зечевић ◽  
Игор Ковачевић
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Research Methodology ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Tourist Destinations ◽  
Hierarchy Process

Summer tourist destinations attract touristS for various attractions and developed product content. This paper focuses on how various attraction factors are important for tourists. The most used model for analysis of the attraction factors is the Ritchie Crouch model, that defines several attractions categories. The paper stars with a modified Ritchie Crouch model with basic attraction factors in the focus within summer destinations. These factors have been taken into consideration having in mind the specifics of summer destinations and their products. The research methodology is based on the AHP model Analytic Hierarchy Process)). In this model, each interviewee compares different alternatives, and in this case assesses the value of individual attraction factors for the decision making process about a summer destination. On the basis of the results, three segments have been identified, followed by testing the significance of the differences between attraction factors among the defined segments. After this, a hypothesis has been tested that there is a bigger difference among the segments defined according to attraction factors preferences than among the traditionally defined segments.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals Аn example of different AHP structuring in a forest management problem

2016 ◽  
pp. 127-137
Author(s):  
Milena Lakicevic ◽  
Bojan Srdjevic ◽  
Ivaylo Velichkov ◽  
Zorica Srdjevic
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Analytic Hierarchy Process ◽  
Evaluation Procedure ◽  
Decision Making Process ◽  
Management Problem ◽  
Consistency Check ◽  
Analytic Hierarchy ◽  
Hierarchy Process

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.

scholarly journals MULTI CRITERIA DECISION MAKING – RANKING AND PROMOTING EMPLOYEES

2019 ◽  
Vol 31 (5) ◽  
pp. 1235-1241
Author(s):  
Marina Badarovska Mishevska
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Decision Makers ◽  
Decision Making Process ◽  
Specific Situation ◽  
Mathematical Tool ◽  
Analytic Hierarchy ◽  
The Right ◽  
Term Performance ◽  
Hierarchy Process

The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. Decision making is the choice of one alternative, from two or more, to which the course of the activity is directed and the problem is solved. The decision-making process is a rational attempt by the manager to achieve the goals of the organizational unit. The decision-making process can be thought of as a "brain and nervous system" of an enterprise. Decisions are made when a person wants things to be different in the future. Given each specific situation, making the right decisions is probably one of the most difficult challenges for managers. Managers in day-to-day work deliver programmed and unprogrammed decisions that solve simple or complex problems. Simple decisions have an impact on the short-term performance of the enterprise, and complex decisions have an impact on the long-term future and success of the enterprise. Users of the AHP first decompose their decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. Once the hierarchy is built, the decision makers systematically evaluate its various elements by comparing them to each other two at a time, with respect to their impact on an element above them in the hierarchy. The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. In this article, it is explained the application of the AHP method in order to evaluate and promote employees in the enterprise "X" with several criteria. The obtained results enable the manager to evaluate the employees in an objective way and make an objective decision for their promotion. Its application for selecting the best among employees, in their assessment and promotion, allows managers to use a specific and mathematical tool to support the decision. This tool not only supports and qualifies decisions, it also allows managers to justify their choice, as well as to simulate possible results.

Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

2021 ◽  
pp. 146442072110556
Author(s):  
Dengfeng Wang ◽  
Shenhua Li
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
The Body ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Lightweight Material ◽  
Automotive Body ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua
Keyword(s):  
Decision Making ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Satisfaction Score ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Best Worst Method ◽  
Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

Application of Fuzzy AHP to the Comparison and Selection of Cement Concrete Pavement Overlaying Schemes

2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Comprehensive Analysis ◽  
Concrete Pavement ◽  
Cement Concrete ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Cement Concrete Pavement ◽  
Hierarchy Process ◽  
Selection Of

Based on a comprehensive analysis of the influencing factors and special features of cement concrete pavement overlaying technology, a fuzzy analytic hierarchy process (AHP) model is constructed for the comparison and selection of overlaying schemes. At first, the numerical weight for each criterion of the hierarchy is derived and tested. Then the feature matrices of all the schemes are constructed based on experts’ evaluation. The optimal scheme is chosen according to the numerical priorities of each scheme yielded by fuzzy calculation.

scholarly journals Destination Management for Ecotourism Activity Using Analytical Hierarchy Process

2022 ◽  
Vol 2022 ◽  
pp. 1-6
Author(s):  
Xi Wu ◽  
Shuying Qiao ◽  
Qiongqiong Tan
Keyword(s):  
Decision Making ◽  
Qualitative And Quantitative Analysis ◽  
Analytic Hierarchy ◽  
Suitable Candidate ◽  
Qualitative And Quantitative ◽  
Original Ecology ◽  
Local Residents ◽  
Reserved Area ◽  
Hierarchy Process ◽  
Selection Of

Analytic hierarchy process (AHP) refers to a decision-making method that decomposes the elements related to decision-making into goals, criteria, plans, and other levels and performs qualitative and quantitative analysis. Ecotourism is one component of sustainable tourism. Due to ecotourism activity, ecotourism links the reserved area with local residents and tourists. The aim of this research is to identify the proper ecotourism activity in Diaoluo Mountain National Nature Reserve with the help of the AHP method. The motivation behind the use of AHP is its widespread use in the decision-making process of selection of suitable candidate or alternative spot for tourists’ activity in the domain of ecotourism. The result shows that the most suitable ecotourism activity is “visit and experience life in the original ecology villages of Li and Miao ethnic minorities with a guide.” The proposed AHP decision-making method has effectively been used to select ecotourism activity based on multiple criteria evaluations.

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