The Experts below are selected from a list of 17523 Experts worldwide ranked by ideXlab platform
Gwo-hshiung Tzeng - One of the best experts on this subject based on the ideXlab platform.
-
Improving search engine optimization (SEO) by using hybrid modified MCDM models
Artificial Intelligence Review, 2020Co-Authors: Hung-jia Tsuei, Wei-ho Tsai, Fu-te Pan, Gwo-hshiung TzengAbstract:Search engine optimization (SEO) has been considered one of the most important techniques in internet marketing. This study establishes a decision model of search engine ranking for administrators to improve the performances of websites that satisfy users’ needs. To probe into the interrelationship and influential weights among criteria of SEO and evaluate the gaps of performance to achieve the Aspiration Level in real world, this research utilizes hybrid modified multiple criteria decision-making models, including decision-making trial and evaluation laboratory (DEMATEL), DEMATEL-based analytic network process (called DANP), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The empirical findings discover that the criteria of SEO possessed a self-effect relationship based on DEMATEL technique. According to the influential network relation map (INRM), external website optimization is the top priority dimension that needs to be improved when implementing SEO. Among the six criteria for evaluation, meta tags is the most significant criterion influencing search engine ranking, followed by keywords and website design. The evaluation of search engine ranking reveals that the website with lowest gap would be the optimal example for administrators of websites to make high ranking website during the time that this study is executed.
-
data driven hybrid multiple attribute decision making model for green supplier evaluation and performance improvement
Journal of Cleaner Production, 2019Co-Authors: James J.h. Liou, Gwo-hshiung Tzeng, Yenching Chuang, Edmundas Kazimieras ZavadskasAbstract:Abstract Multi-attribute decision-making (MADM) is the most commonly used methodology for green supplier evaluation and performance improvement. Previous MADM models have mainly relied upon the knowledge and opinions of domain-experts as the starting point for making decisions. However, the results are affected by the subjectivity of these judgments and knowledge limitations. This study develops a data-driven MADM model that utilizes potential rules/patterns derived from a large amount of historical data to help decision-makers objectively select suitable green suppliers and provide systemic improvement strategies to help reach the Aspiration Level. First, the random forest (RF) algorithm is applied to explore the pairwise influential strength relations among attributes derived from real audit data. The influence matrix derived using the RF algorithm is used as input for decision-making trial and evaluation laboratory (DEMATEL)-based analytical network process analysis which is carried out to obtain the influential strength weights of the attributes. Then, multi-objective optimization on the basis of ratio analysis to the Aspiration Level (MOORA-AS) is utilized to evaluate the gap between the current and Aspiration Levels for each green supplier. The developed critical influence strength route (CISR) can help managers derive various strategies for improving green supplier performance. The functioning of the proposed model is illustrated using data obtained from the green supplier management department of a Taiwanese electronics company. The results reveal that the proposed model can effectively help decision-makers to solve the problem of green supplier selection and devise strategies for improvement.
-
cloud e learning service strategies for improving e learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision making model
Interactive Learning Environments, 2016Co-Authors: Gwo-hshiung TzengAbstract:The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the fuzzy DEMATEL-based analytic network process (DANP) as well as (b) the modified VIKOR method combining fuzzy influential weights of fuzzy DANP to integrate each criterion of fuzzy performance gaps into dimensions and, overall, to examine the interdependent and feedback problems among various dimensions/criteria of cloud e-learning services for creating the excellent improvement plan based on the FSINRM to implement the strategic orientations. An empirical case of the network communication service industry was used as an example to show the proposed methods and ultimately present the most effective improvement plan for decision-makers to achieve the Aspiration Level.
-
new hybrid multiple attribute decision making model for improving competence sets enhancing a company s core competitiveness
Sustainability, 2016Co-Authors: Kuanwei Huang, Jenhung Huang, Gwo-hshiung TzengAbstract:A company’s core competitiveness depends on the strategic allocation of its human resources in alignment with employee capabilities. Competency models can identify the range of capabilities at a company’s disposal, and this information can be used to develop internal or external education training policies for sustainable development. Such models can ensure the importation of a strategic orientation reflecting the growth of its employee competence set and enhancing human resource sustainably. This approach ensures that the most appropriate people are assigned to the most appropriate positions. In this study, we proposed a new hybrid multiple attributed decision-making model by using the Decision-making trial and Evaluation Laboratory Technique (DEMATEL) to construct an influential network relation map (INRM) and determined the influential weights by using the basic concept of the analytic network process (called DEMATEL-based ANP, DANP); the influential weights were then adopted with a modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. A simple forecasting technique as an iteration function was also proposed. The proposed model was effective. We expect that the proposed model can facilitate making timely revisions, reflecting the growth of employee competence sets, reducing the performance gap toward the Aspiration Level, and ensuring the sustainability of a company.
-
a new hybrid mcdm model combining danp with vikor to improve e store business
Knowledge Based Systems, 2013Co-Authors: Wanyu Chiu, Gwo-hshiung Tzeng, Hanlin LiAbstract:Many consumers today buy products and services from e-stores. Because e-store managers are responsible for allocating different resources, it is essential that they understand consumers' shopping behaviour to provide the best possible value for visitors to their websites. Therefore, the purpose of this article is to focus on assessing and improving strategies to reduce the gaps in customer satisfaction caused by interdependence and feedback problems among dimensions and criteria to achieve the Aspiration Level. We propose a new hybrid Multiple Attribute Decision Making (MADM) model, combining the Decision Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based Analytic Network Process (DANP), and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods to solve these problems. Then, three real cases are used to illustrate how the proposed new hybrid Multiple Criteria Decision-Making (MCDM) model improves e-store business. These results can provide e-store managers with a knowledge-based understanding of how to create marketing strategies that reduce the performance gaps of dimensions and criteria to satisfy consumers' needs and encourage customers to purchase more.
Chingter Chang - One of the best experts on this subject based on the ideXlab platform.
-
A Hybrid Fuzzy Goal Programming for Smart Phones and Rate Plan Selection
International Journal of Fuzzy Systems, 2021Co-Authors: Chingter Chang, Kim Hua TanAbstract:Smartphones are essential personal belongings today. However, smartphone buyers (SBs) are often hesitant in deciding what the best smartphone and rate plan to choose offered by telecom providers. Among many new smartphones, it is often difficult for users to choose the most suitable one in consideration of reaching the salient success Aspiration Level (SSAL) as close as possible, e.g., large battery capacity, and avoiding falling below the survival Aspiration Level (SAL) as far as possible, e.g., budget limitation, simultaneously. A novel hybrid weighted SSAL-SAL fuzzy goal programming (FGP) is proposed to assist SBs in finding satisfactory smartphones of their preferences with suitable rate plans. To meet different preferences, SBs can easily set different weights for each smartphone selection goal with linguistic terms, such as high, average, and low. In addition, these linguistic terms can easily be transformed into trapezoidal fuzzy numbers. The weights are then attached to goals in the objective function in the weighted SSAL-SAL-FGP model for choosing the most suitable smartphone. Moreover, this study also allows SBs to set the goal satisfaction Levels as a preemptive priority for each goal in the FGP to find the most suitable rate plan option for the selected smartphone. The proposed approach allows SBs to select the best smartphones with suitable rate plans considering their priority preferences. In addition, SBs can save costs and precious time in finding their ideal smartphones and rate plan options. Finally, various examples are used to demonstrate the usefulness of the proposed weighted SSAL-SAL-FGP model, which allows SBs to set different weights for each goal with the intuitive method, such as linguistic terms or preemptive priority to select appropriate smartphones with suitable rate plans to match their habits and budgets. Besides, this study distributed an online questionnaire to investigate smartphone owners and found that female smartphone owners consider the battery capacity and the weight of the smartphone more crucial than the other criteria, while male smartphone owners prefer a smartphone with bigger screen size.
-
multi choice goal programming model for the optimal location of renewable energy facilities
Renewable & Sustainable Energy Reviews, 2015Co-Authors: Chingter ChangAbstract:Abstract This paper proposes a multi-choice goal programming model for dealing with the capacity expansion planning problem of the renewable energy industry. This model involves decisions regarding the optimal mix of different plant types, location selection and other criteria. Different types of plants should be located in appropriate places so as to minimize the total deviations from predefined goals concerning power generated, investment cost, emission avoided, jobs created, operation and maintenance costs, distance security, and social acceptance. The proposed method is superior to the goal programming model proposed by Ramon and Cristobal, in that it can avoid underestimation of Aspiration Level, expand the potential feasible region, and achieve findings more closely approach actual conditions. In addition, the social acceptance of the renewable energy planning problem in Taiwan is modeled by the MCGP to demonstrate its usefulness.
-
integrated multi choice goal programming and multi segment goal programming for supplier selection considering imperfect quality and price quantity discounts in a multiple sourcing environment
International Journal of Systems Science, 2014Co-Authors: Chingter Chang, Huangmu Chen, Zhengyun ZhuangAbstract:Supplier selection SS is a multi-criteria and multi-objective problem, in which multi-segment e.g. imperfect-quality discount IQD and price-quantity discount PQD and multi-Aspiration Level problems may be significantly important; however, little attention had been given to dealing with both of them simultaneously in the past. This study proposes a model for integrating multi-choice goal programming and multi-segment goal programming to solve the above-mentioned problems by providing the following main contributions: 1 it allows decision-makers to set multiple Aspiration Levels on the right-hand side of each goal to suit real-world situations, 2 the PQD and IQD conditions are considered in the proposed model simultaneously and 3 the proposed model can solve a SS problem with n suppliers where each supplier offers m IQD with r PQD intervals, where only extra binary variables are required. The usefulness of the proposed model is explained using a real case. The results indicate that the proposed model not only can deal with a SS problem with multi-segment and multi-Aspiration Levels, but also can help the decision-maker to find the appropriate order quantities for each supplier by considering cost, quality and delivery.
-
multi choice goal programming with utility functions
European Journal of Operational Research, 2011Co-Authors: Chingter ChangAbstract:Abstract Goal programming (GP) has been, and still is, the most widely used technique for solving multiple-criteria decision problems and multiple-objective decision problems by finding a set of satisfying solutions. However, the major limitation of goal programming is that can only use Aspiration Levels with scalar value for solving multiple objective problems. In order to solve this problem multi-choice goal programming (MCGP) was proposed by Chang (2007a) . Following the idea of MCGP this study proposes a new concept of Level achieving in the utility functions to replace the Aspiration Level with scalar value in classical GP and MCGP for multiple objective problems. According to this idea, it is possible to use the skill of MCGP with utility functions to solve multi-objective problems. The major contribution of using the utility functions of MCGP is that they can be used as measuring instruments to help decision makers make the best/appropriate policy corresponding to their goals with the highest Level of utility achieved. In addition, the above properties can improve the practical utility of MCGP in solving more real-world decision/management problems.
Gregg C Oden - One of the best experts on this subject based on the ideXlab platform.
-
the role of Aspiration Level in risky choice a comparison of cumulative prospect theory and sp a theory
Journal of Mathematical Psychology, 1999Co-Authors: Lola L Lopes, Gregg C OdenAbstract:Abstract In recent years, descriptive models of risky choice have incorporated features that reflect the importance of particular outcome values in choice. Cumulative prospect theory (CPT) does this by inserting a reference point in the utility function. SP/A (security-potential/Aspiration) theory uses Aspiration Level as a second criterion in the choice process. Experiment 1 compares the ability of the CPT and SP/A models to account for the same within-subjects data set and finds in favor of SP/A. Experiment 2 replicates the main finding of Experiment 1 in a between-subjects design. The final discussion brackets the SP/A result by showing the impact on fit of both decreasing and increasing the number of free parameters. We also suggest how the SP/A approach might be useful in modeling investment decision making in a descriptively more valid way and conclude with comments on the relation between descriptive and normative theories of risky choice.
-
the role of Aspiration Level in risky choice a comparison of cumulative prospect theory and sp a theory
Journal of Mathematical Psychology, 1999Co-Authors: Lola L Lopes, Gregg C OdenAbstract:In recent years, descriptive models of risky choice have incorporated features that reflect the importance of particular outcome values in choice. Cumulative prospect theory (CPT) does this by inserting a reference point in the utility function. SP/A (security-potential/Aspiration) theory uses Aspiration Level as a second criterion in the choice process. Experiment 1 compares the ability of the CPT and SP/A models to account for the same within-subjects data set and finds in favor of SP/A. Experiment 2 replicates the main finding of Experiment 1 in a between-subjects design. The final discussion brackets the SP/A result by showing the impact on fit of both decreasing and increasing the number of free parameters. We also suggest how the SP/A approach might be useful in modeling investment decision making in a descriptively more valid way and conclude with comments on the relation between descriptive and normative theories of risky choice. Copyright 1999 Academic Press.
Chuanlin Zhao - One of the best experts on this subject based on the ideXlab platform.
-
experiment of boundedly rational route choice behavior and the model under satisficing rule
Transportation Research Part C-emerging Technologies, 2016Co-Authors: Chuanlin Zhao, Hai-jun HuangAbstract:Abstract In this paper, we study the boundedly rational route choice behavior under the Simon’s satisficing rule. A laboratory experiment was carried out to verify the participants’ boundedly rational route choice behavior. By introducing the concept of Aspiration Level which is specific to each person, we develop a novel model of the problem in a parallel-link network and investigate the properties of the boundedly rational user equilibrium (BRUE) state. Conditions for ensuring the existence and uniqueness of the BRUE solution are derived. A solution method is proposed to find the unique BRUE state. Extensions to general networks are conducted. Numerical examples are presented to demonstrate the theoretical analyses.
-
experiment of boundedly rational route choice behavior and the model under satisficing rule
International Conference on Intelligent Transportation Systems, 2014Co-Authors: Chuanlin Zhao, Hai-jun HuangAbstract:In this paper, the authors study the boundedly rational route choice behavior under the Simon's satisficing rule. A laboratory experiment is presented to verify the participants' boundedly rational route choice behavior. By introducing the concept of Aspiration Level which is specific to each person, the authors develop a novel model of the problem in a parallel-link network and derive the properties of boundedly rational user equilibrium (BRUE) state. Conditions for ensuring the existence and uniqueness of the BRUE solution are derived. A solution method is proposed to find the unique BRUE state. Numerical examples are presented to demonstrate the theoretical analyses.
Stanley Zionts - One of the best experts on this subject based on the ideXlab platform.
-
the Aspiration Level interactive method aim reconsidered robustness of solutions
European Journal of Operational Research, 2006Co-Authors: Jingguo Wang, Stanley ZiontsAbstract:Abstract In this paper we explore theory and practice for the Aspiration-Level interactive model (AIM), a useful decision tool that takes advantage of the concepts of satisficing as well as other concepts of multiple criteria decision making (MCDM). We examine the relationship between Aspiration Levels and their mapped-to solutions in the MCDM context using AIM. We extend the concept of robustness in decision making, by defining a solution to be robust if many (suitably defined) Aspiration Levels map to it. We use simulation to help explore robustness, by generating three groups of random test problems. Each problem has twenty alternatives. For each group of problems, the top 5 (most-mapped-to) alternatives out of 20 are mapped to by at least 50% of the Aspiration Levels. We also relate the concept of robustness in decision making to the ideas of simply ranking alternatives using equal weights. There is a strong correlation between the robustness ranking and the equal-weights ranking. Based on our analyses, we then randomly generate additional problems to explore certain other factors. We also discuss practical aspects of robustness.
-
webaim an online Aspiration Level interactive method
Journal of Multi-criteria Decision Analysis, 2005Co-Authors: Jingguo Wang, Stanley ZiontsAbstract:Summary: The Aspiration Level Interactive Method (AIM) is a useful decision tool that takes advantage of the concepts of satisficing as well as other concepts of multiple criteria decision making. In this paper we describe an internet version of AIM, WebAIM. It may be accessed via the internet using simple instructions. WebAIM is a natural extension of the earlier DOS version of AIM. It has been developed using Visual Studio.NET and is programmed in Visual Basic. It is available on a website at the University of Hohenheim, Stuttgart, Germany: http://www.ibl.unihohenheim.de/webaim. An example of house selection is used to illustrate the use of the program. In our presentation, we also explore other aspects of AIM and its application.
-
an Aspiration Level interactive model for multiple criteria decision making
Computers & Operations Research, 1992Co-Authors: Vahid Lotfi, Theodor J Stewart, Stanley ZiontsAbstract:Abstract A simple, eclectic approach for solving discrete alternative multiple criteria decision problems is presented. It is based on the concept of the Level of Aspiration, and draws on ideas of various researchers. It assumes that the user has a set of alternatives with each alternative having a score on each of a number of objectives or measures of performance. The user determines his Levels of Aspiration for different objectives. He is then provided with considerable feedback as to the degree of feasibility of each Level of Aspiration as well as the degree of feasibility with respect to all Levels of Aspiration as a whole. The closest nondominated solution to the solution specified by the Levels of Aspiration is provided. The proposed method is easy to use and easy to understand and has been implemented on a personal computer (an IBM PC or compatible with 512K RAM). We describe an experimental application in which 49 students in an MBA program used the method to solve two discrete alternative multiple criteria decision problems.
