scholarly journals A Macro/Micro Decision Model for the Training and Development Specialist

2005 ◽  
Vol 37 (3) ◽  
pp. 656-669
Author(s):  
David W. Mealia

This article describes a macro/micro decision making model designed to aid the T/D specialist.

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


Author(s):  
Jose Leao E Silva Filho ◽  
Danielle Costa Morais

This paper presents a group decision-making model using a distance aggregator based on Ordered Weighted Distance (OWD) which offers a solution that can reduce disagreement between decision makers (DMs). This paper discusses decision rules and sets out measures to evaluate compensatory effects that have a bearing on DMs’ opinions. The model uses formulations of distances to reveal the differences in opinion among DMs and discusses the meanings of distance and the information presented by each DM. Finally, a case study of a logistics problem is used to illustrate how the model is applied.


Author(s):  
I. J. PEREZ ◽  
F. J. CABRERIZO ◽  
E. HERRERA-VIEDMA

The aim of this paper is to present a new mobile group decision making model to deal with heterogeneous information and changeable decision contexts. This model takes into account that experts have different backgrounds and knowledge levels, allowing to use different preference representations as fuzzy preference relations or linguistic preference relations with multigranular linguistic information. Furthermore, we allow to introduce some changes on the alternatives of the problem at every stage of the decision process. To do that: i) a mobile implementation is proposed to reduce the number of changes and ii) a mechanism to insert/remove alternatives is included in the model. Finally, our new decision model incorporates a feedback mechanism that sends recommendations to the experts in order to quickly obtain a high consensus level.


2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Rajkumar Rajavel ◽  
Mala Thangarathinam

Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.


2011 ◽  
Vol 201-203 ◽  
pp. 1268-1271
Author(s):  
Qiang Zhang ◽  
Qiu Shuang Song

The coal plough equipment of traditional choice method has subjective capriciousness question, This paper discuss and analyze the assessment of mining method by entropy value law and gray connection theory, carries on the quantification recursive operation according to the normalizing formula, calculates all levels of membership function separately, it has established the coal plough way gray connection decision-making model. we research and analyze Yangquan coal mining to prove the model, it provide Selection of coal plough decision-making method.


2019 ◽  
Author(s):  
Chandramouli Chandrasekaran ◽  
Guy E. Hawkins

AbstractDecision-making is the process of choosing and performing actions in response to sensory cues so as to achieve behavioral goals. A sophisticated research effort has led to the development of many mathematical models to describe the response time (RT) distributions and choice behavior of observers performing decision-making tasks. However, relatively few researchers use these models because it demands expertise in various numerical, statistical, and software techniques. Although some of these problems have been surmounted in existing software packages, the packages have often focused on the classical decision-making model, the diffusion decision model. Recent theoretical advances in decision-making that posit roles for “urgency”, time-varying decision thresholds, noise in various aspects of the decision-formation process or low pass filtering of sensory evidence, have proven to be challenging to incorporate in a coherent software framework that permits quantitative evaluations among these competing classes of decision-making models. Here, we present a toolbox —Choices and Response Times in R, orCHaRTr— that provides the user the ability to implement and test a wide variety of decision-making models ranging from classic through to modern versions of the diffusion decision model, to models with urgency signals, or collapsing boundaries. Earlier versions ofCHaRTrhave been instrumental in a number of recent studies of humans and monkeys performing perceptual decision-making tasks. We also provide guidance on how to extend the toolbox to incorporate future developments in decision-making models.


2017 ◽  
Vol 9 (1) ◽  
pp. 132 ◽  
Author(s):  
Dinh Xuan Cuong ◽  
Hoang Thi Hien ◽  
Tran Long

The commercial banks (CBs) performance evaluating has been a necessary problem in currently integration trend and usually implemented by a committee of experts under criteria selected. Therefore, it is considered as a Multi - Criteria Decision - Making model (MCDM). Nowadays, there have been many researches proposing various standards and models to evaluate and rank CBs. But in Vietnam, the number of studies related to the Vietnamese banking evaluation model have still been limited. As a result, this study develops a multi-criteria decision model integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy the Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The proposed model has evaluated and ranked five Vietnamese commercial banks including CTG, VCB, BIDV, TCB and MB. The paper revealed their ranks. Besides, the results of the research show that the Analytical Hierarchy Process (AHP) model is suitable for applying it to the process evaluating bank performance.


2021 ◽  
Vol 13 (6) ◽  
pp. 3100
Author(s):  
Kuo-Chih Cheng ◽  
Mu-Jung Huang ◽  
Cheng-Kai Fu ◽  
Kuo-Hua Wang ◽  
Huo-Ming Wang ◽  
...  

This study attempts to integrate the decision tree algorithm with the Apriori algorithm to explore the relationship among financial ratio, corporate governance, and stock returns to establish a stock investment decision model. The sports and leisure related industries are employed as the research target. The data are collected and processed for generating decision tree and association rules. Based on the analysis outcome, an investment decision model is constructed for investors expecting to decrease their investment risks and further increase their profits. This stock investment decision model is one type of multiple-criteria decision-making model. This study makes three critical contributions to investors. (1) It proposes a systematical model of exploring related data through the decision tree algorithm and the Apriori algorithm to reveal the implicit investment knowledge. (2) An effective investment decision model is established and expected to provide a reference basis during stock-picking decisions. (3) The investment decision model is enhanced with implicit rules found among variables using association rules.


2020 ◽  
Vol 4 (2) ◽  
pp. 53
Author(s):  
Kurniati Karim ◽  
Ahmad Hosen

The Bugis tribe is one of the tribes that resides in South Sulawesi Province. This tribe is known to be very rational in acting and is always based on the teachings of the ancestors in the form of "Mappesona ri Dewata Seuwae" which means based on God Almighty. The Bugis tribe is known as an accomplished seaman, so they inhabit all provinces in Indonesia, including in Jambi Province. By inhabiting the Jambi area, the influence of the local culture will certainly affect the behavior of someone who resides in the area. Regarding this, the purpose of this research is to find out whether the decision making model of the Bugis people who live in Jambi still consider the Bugis cultural value when making product purchase decisions. The research sample consisted of 106 people, data were collected through questionnaires, and then analyzed descriptively quantitatively by calculating the index number values. The analysis shows that although the Bugis people have settled in Jambi, Sumatra, the product purchasing decision model is based on the value of the faith taught by the Bugis ancestors.


2012 ◽  
Vol 503-504 ◽  
pp. 111-114
Author(s):  
Juan Liu

In this paper, there are many system analysis and Summary about the green manufacturing processes, the development of profiles in machinery manufacturing, and prospects about the future research of the green manufacturing process.In real terms, green manufacturing processes in the mechanical manufacturing process is a series of decision-making process, which is important about the clear decision-making objectives of this paper, based on existing research of green manufacturing, this paper summed up the target system and decision-making model of the green manufacturing processes in the machinery.The exact division of the decision-making goal and the proper establishment of the decision model has important implications for the future of green manufacturing.


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