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Search Results: 1 - 10 of 330 matches for " TOPSIS "
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Employee Performance Appraisal in a Logistics Company  [PDF]
Yu-Wei Chang
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.37008

This paper develops a multi-criteria decision making method (MCDM) method to evaluate the employee performance in a logistics company. Analytic Hierarchy Process (AHP) is used for the weights of criteria and employees. Technique for order preference by similarity to an ideal solution (TOPSIS) is used for ranking the overall performance of the employees. Result shows that the proposed method is a generalized method and is applicable for the performance appraisal problem.

Using TOPSIS & CA Evaluating Intentions of Consumers’ Cross-Buying Bancassurance  [PDF]
Chiang Ku Fan, Yu Hsuang Lee, Li Tze Lee, Wen Qin Lu
Journal of Service Science and Management (JSSM) , 2011, DOI: 10.4236/jssm.2011.44053
Abstract: The purpose of this study is to develop and assess an objective research model to weigh the factors that affect intention of cross-buying insurance in banks. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was conduct firstly for the shortlist selection of factors of cross-buying intention. Then, the factors’ weights of cross-buying intention is also used as the evaluation criteria, and these are calculated effectively by employing Conjoint analysis (CA). This study finding: The TOPSIS is an effective method to help decision makers for the shortlist selection of idea factors of cross-buying intention. In order to collect data to identify and shortlist selection the intentions of cross-buying insurance in banks by Delphi & TOPSIS, and develop an evaluation structure to weigh the intentions of cross-buying insurance in banks, an interview protocol was designed.
Alternatives Selection Using GORE Based on Fuzzy Numbers and TOPSIS  [PDF]
Arfan Mansoor, Detlef Streitferdt, Franz-Felix Fü?l
Journal of Software Engineering and Applications (JSEA) , 2015, DOI: 10.4236/jsea.2015.87035
Abstract: Context and Motivation: The notion of goal and goal models is ideal for the alternative systems. Goal models provide us different alternatives during goal oriented requirements engineering. Question/Problem: Once we find different alternatives, we need to evaluate these alternatives to select the best one. Ideas: The selection process consists of two main parts. In first part of the selection process among alternatives, we will use techniques in which we establish some evaluation criteria. The evaluation criteria are based on leaf level goals. Stakeholders are involved to contribute their opinions about the evaluation criteria. The input provided by various stakeholders is then converted into quantifiable numbers using fuzzy triangle numbers. After applying the defuzzification process on fuzzy triangle numbers we get scores (weights) for each criteria. In second part, these scores are used in the selection process to select the best alternative. Contribution: The two steps selection process helps us to select the best alternative among many alternatives. We have described the process and applied it to “cyclecomputer” selection case study.
Underlying Factors of Occupational Accidents: The Case of Turkey  [PDF]
Fatih Yilmaz, Selcuk Alp
Open Journal of Safety Science and Technology (OJSST) , 2016, DOI: 10.4236/ojsst.2016.61001
Abstract: An average of 80 thousand occupational accidents occurs each year in Turkey and 1500 workers are lost their lives. In accordance to “policy of preventive approach”, many legal arrangements have been made in Turkey. In this context, weight to issues such as risk assessment and preventive OHS services is given; however, employee training, employee participation, labour inspect, and periodic checks in working areas such as maintenance and audit have not been achieved. The level of implementation of legal arrangements was inadequate. Research was carried out to determine the significance rate of the factors that cause accidents in 5 sectors with the highest number of occupational accidents in Turkey. Questionnaires administered to experienced safety specialists were reviewed by analyzing with the fuzzy TOPSIS method. According to the results, especially in the construction and coal mining sectors and all sectors in general, employee training, employee participation and periodic maintenance in the workplace are more important accident prevention factors than risk assessment and preventive OH & S services. It is seen that for the prevention of accidents, all measures should be implemented by systematic and by a multidisciplinary approach.
Assessment of Urban Physical Seismic Vulnerability Using the Combination of AHP and TOPSIS Models: A Case Study of Residential Neighborhoods of Mymensingh City, Bangladesh  [PDF]
Md. Shaharier Alam, Shamim Mahabubul Haque
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.62011
Abstract: Mymensingh, one of the oldest municipalities of Bangladesh, is at great risk against earthquakes because three major faults viz. Dauki fault, Madhupur fault, and Sylhet-Assam fault are located around it, and possesses liquefaction susceptible soil type. The city has great significance from the economic and administrative point of view and recently declared as the 8th administrative division of Bangladesh which directly stimulates the unplanned future expansion. Considering the potentiality of haphazard development and high seismic risk, it is crucial to assess the seismic vulnerability for taking the judicious decision regarding risk reduction measures for the city. The study combines Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS) and Analytical Hierarchical Process (AHP) models to assess the seismic vulnerability of residential neighborhoods of Mymensingh city as the probability of death and damage is remarkable in residential neighborhoods than other land use types. A combined quantitative methodology of AHP-TOPSIS is used in this study to quantify 13 important qualitative and quantitative factors of earthquake vulnerability, decided on expert opinions. The data of 13 vulnerability factors are collected from the Mymensingh Strategic Development Plan (MSDP, 2011-2031) database, done under Comprehensive Disaster Management Programme (CDMP)-II during 2012-2014. Geographic Information System is used in this study to analyze and mapping of seismic vulnerability. Results indicated that 37 residential neighborhoods are very highly vulnerable, 55 neighborhoods are highly vulnerable, 75 neighborhoods are moderately vulnerable and 74 neighborhoods are in the low vulnerable category.
A hybrid TOPSIS-BSC method for strategic planning
Mohammad Reza Shojaee,Mehdi Fallah,Mohsen Fallah
Management Science Letters , 2012,
Abstract: For years, tangible assets used to be the most important precious wealth of organizations. However, the recent advances in technology has changed this concept and today, intangible assets such as human resources, customers, processes are playing essential roles on making strategies. In this paper, we present a study to setup appropriate strategies using the implementation of balanced score card in four perspectives of customers, processes, learning and financial. The proposed study of this paper gathers important factors through three different brainstorming sessions and prioritize them using TOPSIS method. Based on the results of MCDM technique, selecting appropriate target market for penetration is the number one priority followed by having good accounting system and preparing for more diversified production. These are the most important items influencing strategic planning. Therefore, the study uses BSC for the first two important strategies and discusses possible actions for productivity improvement.
An application of TOPSIS for ranking internet web browsers
Shahram Rostampour
Decision Science Letters , 2012, DOI: 10.5267/j.dsl.2012.09.001
Abstract: Web browser is one of the most important internet facilities for surfing the internet. A good web browser must incorporate literally tens of features such as integrated search engine, automatic updates, etc. Each year, ten web browsers are formally introduced as top best reviewers by some organizations. In this paper, we propose the implementation of TOPSIS technique to rank ten web browsers. The proposed model of this paper uses five criteria including speed, features, security, technical support and supported configurations. In terms of speed, Safari is the best web reviewer followed by Google Chrome and Internet Explorer while Opera is the best web reviewer when we look into 20 different features. We have also ranked these web browsers using all five categories together and the results indicate that Opera, Internet explorer, Firefox and Google Chrome are the best web browsers to be chosen.
Porphyry Copper Mineral Prospectivity Mapping Using Interval Valued Fuzzy Sets Topsis Method in Central Iran  [PDF]
Ali Reza Jafari Rad, W. Busch
Journal of Geographic Information System (JGIS) , 2011, DOI: 10.4236/jgis.2011.34028
Abstract: Geospatial Information System (GIS) provide tools to quantitatively analysis and combination of datasets from geological, geophysical, remote sensing and geochemical surveys for decision-making processes. Excellent coverage of well-documented and good quality data enables testing of variable exploration modeling in an efficient way. The study area of this research is the most important part of Cu (Mo) porphyry—type mineralization belt in Iran. There are some well-known porphyry copper deposits in this region like Sarcheshmeh and Meiduk mines, but certainly there are same grounds to search for new porphyry deposits. The risks of developing mineral resources need to be known as accurately as possible, with regarding to all features those are effective in mineralization. These features can be recognized respect to Critical Genetic Factors (CGF’s) using Critical Recognition Criteria (CRC) for each type of mineralization. CGF’s can be employed for designing a Conceptual Genetic Model (CGM). Evidence maps create on the basis of CGM and then integrate together for production of Mineral Prospectivity Map (MPM). This map categorizes the areas based on their exploration importance. There are several techniques for creation of MPM. Interval Valued Fuzzy Sets (IVFSs) TOPSIS method was applied in this research. This method as a knowledge-driven method, allocate appropriate weights to layers on the basis of the effective membership, non membership, and non-certainty. The fundamental concept of TOPSIS is that the chosen alternatives should have the shortest distance from the positive ideal points (A*) and the farthest distance from negative ideal points (A-).
Risk Evaluation of Dynamic Alliance Based on Fuzzy Analytic Network Process and Fuzzy TOPSIS  [PDF]
Xiaoguang Zhou, Mi Lu
Journal of Service Science and Management (JSSM) , 2012, DOI: 10.4236/jssm.2012.53028
Abstract: Dynamic alliance formations have increased dramatically over the past decade for its adaptation to environmental change and market competition. However, many fail, while an even greater proportion perform poorly. The risk analysis of dynamic alliance will help enterprises to choose a coalition partner and make a reasonable benefit allocation plan. It’s also good for reducing the risk and keeping the stability of the alliance. Based on the interaction and feedback relationships between criteria and/or indices, an index system for evaluating the risk of dynamic alliance is developed. With the information uncertainty and inaccuracy being considered, a new hybrid model based on fuzzy analytic network process (FANP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is proposed. The local weights of criteria and indices are obtained by fuzzy preference programming (FPP), and the comprehensive weights are derived by FANP. According to fuzzy TOPSIS, an optimal alternative is chosen by the closeness coefficient based on the shortest distance from the positive and the farthest distance from the negative ideal solutions. Finally, a numerical case is given by the proposed method.
Prioritizing the Best Areas for Treated Wastewater Use Using RCP 8.5  [PDF]
Sang-Mook Jeon, Eun-Sung Chung, Yeonjoo Kim, Sang-ho Lee
Journal of Environmental Protection (JEP) , 2013, DOI: 10.4236/jep.2013.41B011
Abstract: The goal of this study is to develop a new framework that prioritizes the best sites for treated wastewater (TWW) use considering climate change impacts. Fuzzy TOPSIS which is a kind of multi-criteria decision making techniques was introduced to reflect the uncertainty of input data and criteria weighting values. Representative concentration pathway 8.5 scenario was included into the hydrologic simulations for the climate change impact to hydrologic regimes using hydrological simulation program-Fortran (HSPF). Furthermore, all year scenarios were considered to determine the rankings, respectively. It can take into consideration the uncertainty of time periods which always exists in all climate change scenarios. This study can be a baseline to start to combine the fuzzy multi-criteria decision making techniques with robust prioritization for climate change adaptation strategies.
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