scholarly journals A Novel Decision-Making Approach to Fund Investments Based on Multigranulation Rough Set

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Xima Yue ◽  
Xiang Su
Keyword(s):  
Decision Making ◽  
Information System ◽  
Rough Set ◽  
Investment Decision ◽  
Decision Rules ◽  
Investment Project ◽  
Point Of View ◽  
New Approach ◽  
Multigranulation Rough Set ◽  
Fund Investment

Fund investment is a hot issue in today’s society. How to choose a project for investment is affected by many factors. In view of this problem, this paper starts from the granular computing point of view and combines the multigranulation rough set decision-making method to construct a fund investment decision information system; then, the fund investment decision information system is reduced under different thresholds, and the decision rules are extracted through reduction. And from the aspects of decision accuracy and rule accuracy, the rules are analyzed. Finally, decision rules are used to give the decision of the fund investment project. This study provides a new approach to fund management.

Applied Rough Set Logics for Multi-Criteria Decision Analysis in Stock Index Volatility Projection

2011 ◽  
Vol 14 (04) ◽  
pp. 715-735
Author(s):  
Wen-Rong Jerry Ho
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Stock Index ◽  
Rule Based ◽  
Set Up ◽  
Decision Making Model

The main purpose of this paper is to advocate a rule-based forecasting technique for anticipating stock index volatility. This paper intends to set up a stock index indicators projection prototype by using a multiple criteria decision making model consisting of the cluster analysis (CA) technique and Rough Set Theory (RST) to select the important attributes and forecast TSEC Capitalization Weighted Stock Index. The projection prototype was then released to forecast the stock index in the first half of 2009 with an accuracy of 66.67%. The results point out that the decision rules were authenticated to employ in forecasting the stock index volatility appropriately.

Rule Acquisition Based on Inconsistent Decision-Making Information System

2013 ◽  
Vol 411-414 ◽  
pp. 1975-1978
Author(s):  
De Xing Wang ◽  
Hong Yan Lu ◽  
Hong Wei Lu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Knowledge Reduction ◽  
Inconsistent Information ◽  
Rule Acquisition ◽  
Theory Application ◽  
Rules Acquisition

Rule acquisition is a hot topic in the field of data mining. And the inconsistent information systems are widespread nowadays. However, rules acquisition methods are always the difficulty of rough set theory application in inconsistent decision information systems; So the paper proposes a new rule acquisition method. Firstly, we use maximum distribution reduction method for knowledge reduction in single decision-making inconsistent information system and then we use decision-making resolution matrix and decision-making matrix function to get the decision rules. Finally, we mine the rules from inconsistent decision-making information systems.

scholarly journals Morality recruits neural reward circuitry to shape economic decision making

2020 ◽  
Author(s):  
Jie Liu ◽  
Xiaoxuan Huang ◽  
Chong Liao ◽  
Fang Cui
Keyword(s):  
Decision Making ◽  
Functional Connectivity ◽  
Investment Decision ◽  
Investment Project ◽  
Outcome Evaluation ◽  
Neural Responses ◽  
Economic Decision ◽  
Reward Circuitry ◽  
Economic Decision Making ◽  
Moral Valence

AbstractThe present study combined a novel hypothetical investment game with functional magnetic resonance imaging systemtically examined how morality modulates economic decision making in decision phase and outcome phase. We manipulated the morality of the investments by choosing each investment project based on subjective ratings on their moral valence and social benefits. There were three categories of investment morality: Green (moral), Red (immoral), and Neutral. The behavioral and neural responses during the investment decision and outcome phases were recorded and compared. Results showed that: behaviorally, people are willing to invest a larger amount of money into a moral project that may benefit society than they are into an immoral project that they think will harm society. They also rate gains in moral investments as more pleasant and losses as the most unpleasant. In the brain, we found that the reward system, especially the bilateral striatum, was involved in modulating functional connectivity during both phases, but in different ways. During decision making, the functional connectivity between fusiform gyrus and striatum might underlie the observed investing bias (Green over Red projects), while the covariation of BOLD signals in bilateral striatum with the behavioral tendency might explain the effect observed during the outcome evaluations. Our study provides evidence that morality modulates both the decision making and the outcome evaluation in economic situations.

scholarly journals Two Different Views for Generalized Rough Sets with Applications

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2275
Author(s):  
Radwan Abu-Gdairi ◽  
Mostafa A. El-Gayar ◽  
Mostafa K. El-Bably ◽  
Kamel K. Fleifel
Keyword(s):  
Decision Making ◽  
Information System ◽  
Rough Set ◽  
Rough Sets ◽  
Real Life ◽  
Binary Relations ◽  
Medical Field ◽  
Good Decision ◽  
Heart Attacks ◽  
Generalized Rough Sets

Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the present paper, we suggest new sorts of rough set approximations using a multi-knowledge base; that is, a family of the finite number of general binary relations via different methods. The proposed methods depend basically on a new neighborhood (called basic-neighborhood). Generalized rough approximations (so-called, basic-approximations) represent a generalization to Pawlak’s rough sets and some of their extensions as confirming in the present paper. We prove that the accuracy of the suggested approximations is the best. Many comparisons between these approaches and the previous methods are introduced. The main goal of the suggested techniques was to study the multi-information systems in order to extend the application field of rough set models. Thus, two important real-life applications are discussed to illustrate the importance of these methods. We applied the introduced approximations in a set-valued ordered information system in order to be accurate tools for decision-making. To illustrate our methods, we applied them to find the key foods that are healthy in nutrition modeling, as well as in the medical field to make a good decision regarding the heart attacks problem.

scholarly journals Guidelines for the investment choice of capital projects by public corporations

2010 ◽  
Vol 7 (3) ◽  
pp. 407-415
Author(s):  
Wessel Pienaar
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Decision Rules ◽  
Capital Projects ◽  
Public Corporations ◽  
Project Appraisal ◽  
Investment Choice ◽  
Long Run ◽  
Selection Of

This article provides guidelines on how public corporations can choose capital projects on the basis of economic and financial criteria. Project appraisal, selection and prioritisation criteria are listed, followed by a description of the way in which the result of each appraisal technique should be interpreted. Criteria that should be adhered to in the selection of mutually exclusive projects and the prioritisation of functionally independent projects in order to maximise the net output of public corporations in the long run are supplied. Applications of the proposed investment decision rules are illustrated by examples. Two techniques are proposed that may be used as additional decision-making instruments when evaluated projects show similar degrees of long-term financial viability.

scholarly journals VERBAL ANALYSIS AND ITS APPLICATION FOR THE ASSESSMENT AND MANAGEMENT OF THE INVESTMENT PROJECT RISK IN CONSTRUCTION

2016 ◽  
Author(s):  
Galina Shevchenko ◽  
Leonas Ustinovichius
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Investment Decision ◽  
Investment Decisions ◽  
Investment Project ◽  
Project Risk ◽  
Investment Projects ◽  
Investment Decision Making ◽  
Investment Process ◽  
Verbal Analysis

The paper investigates the investment decision–making, risk assessment and management problems faced by all participants of the investment process in construction. The main object of paper – risk of investment projects in construction. Companies often have to make investment decisions under uncertainty and therefore the study emphasizes the need, for carryng out investigations, developing metodology and intelectual decision making system that would holistically assess the whole available information to the investment project, increase the accuracy of risk assessment, improve project information management, reduce project risk factors for the occurrence of potential and would make informed investment decisions. The created and described verbal analysis method of the real alternatyve classification was integrated into the proposed model and implemented in practice.

scholarly journals Some New Covering-Based Multigranulation Fuzzy Rough Sets and Corresponding Application in Multicriteria Decision Making

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Zaibin Chang ◽  
Lingling Mao
Keyword(s):  
Decision Making ◽  
Rough Set ◽  
Rough Sets ◽  
Large Scale ◽  
Rough Set Theory ◽  
Multicriteria Decision Making ◽  
Matrix Representations ◽  
Fuzzy Rough Set ◽  
Multicriteria Decision ◽  
Multigranulation Rough Set

Multigranulation rough set theory is an important tool to deal with the problem of multicriteria information system. The notion of fuzzy β -neighborhood has been used to construct some covering-based multigranulation fuzzy rough set (CMFRS) models through multigranulation fuzzy measure. But the β -neighborhood has not been used in these models, which can be seen as the bridge of fuzzy covering-based rough sets and covering-based rough sets. In this paper, the new concept of multigranulation fuzzy neighborhood measure and some types of covering-based multigranulation fuzzy rough set (CMFRS) models based on it are proposed. They can be seen as the further combination of fuzzy sets: covering-based rough sets and multigranulation rough sets. Moreover, they are used to solve the problem of multicriteria decision making. Firstly, the definition of multigranulation fuzzy neighborhood measure is given based on the concept of β -neighborhood. Moreover, four types of CMFRS models are constructed, as well as their characteristics and relationships. Then, novel matrix representations of them are investigated, which can satisfy the need of knowledge discovery from large-scale covering information systems. The matrix representations can be more easily implemented than set representations by computers. Finally, we apply them to manage the problem of multicriteria group decision making (MCGDM) and compare them with other methods.

scholarly journals Double-Quantitative Generalized Multi-Granulation Set-Pair Dominance Rough Sets in Incomplete Ordered Information System

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 133
Author(s):  
Zhan-ao Xue ◽  
Min Zhang ◽  
Yong-xiang Li ◽  
Li-ping Zhao ◽  
Bing-xin Sun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Rough Sets ◽  
Decision Rules ◽  
Rough Sets Theory ◽  
Quantification Method ◽  
Variable Precision ◽  
Double Quantification ◽  
Sets Theory ◽  
Variable Precision Rough Sets

Since the rough sets theory based on the double quantification method was proposed, it has attracted wide attention in decision-making. This paper studies the decision-making approach in Incomplete Ordered Information System (IOIS). Firstly, to better extract the effective information in IOIS, combined with the advantages of set-pair dominance relation and generalized multi-granulation, the generalized multi-granulation set-pair dominance variable precision rough sets (GM-SPD-VPRS) and the generalized multi-granulation set-pair dominance graded rough sets (GM-SPD-GRS) are proposed. Moreover, we discuss their related properties. Secondly, considering the GM-SPD-VPRS and the GM-SPD-GRS describe information from relative view and absolute view, respectively, we further combine the two rough sets to obtain six double-quantitative generalized multi-granulation set-pair dominance rough sets (GM-SPD-RS) models. Among them, the first two models fuse the approximation operators of two rough sets, and investigate the extreme cases of optimistic and pessimistic. The last four models combine the two rough sets by the logical disjunction operator and the logical conjunction operator. Then, we discuss relevant properties and derive the corresponding decision rules. According to the decision rules, an associated algorithm is constructed for one of the models to calculate the rough regions. Finally, we validate the effectiveness of these models with a medical example. The results indicate that the model is effective for dealing with practical problems.

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