A framework of decision making based on bipolar fuzzy competition hypergraphs

2021 ◽  
pp. 1-21
Author(s):  
Sundas Shahzadi ◽  
Areen Rasool ◽  
Musavarah Sarwar ◽  
Muhammad Akram
Keyword(s):  
Biological Sciences ◽  
Decision Making ◽  
Comparative Analysis ◽  
Social Networking ◽  
Real World ◽  
Fuzzy Models ◽  
New Concepts ◽  
Proposed Model ◽  
Business Market ◽  
Strength Of Competition

Bipolarity plays a key role in different domains such as technology, social networking and biological sciences for illustrating real-world phenomenon using bipolar fuzzy models. In this article, novel concepts of bipolar fuzzy competition hypergraphs are introduced and discuss the application of the proposed model. The main contribution is to illustrate different methods for the construction of bipolar fuzzy competition hypergraphs and their variants. Authors study various new concepts including bipolar fuzzy row hypergraphs, bipolar fuzzy column hypergraphs, bipolar fuzzy k-competition hypergraphs, bipolar fuzzy neighborhood hypergraphs and strong hyperedges. Besides, we develop some relations between bipolar fuzzy k-competition hypergraphs and bipolar fuzzy neighborhood hypergraphs. Moreover, authors design an algorithm to compute the strength of competition among companies in business market. A comparative analysis of the proposed model is discuss with the existing models such bipolar fuzzy competition graphs and fuzzy competition hypergraphs.

Affordances of Business Pages on Social Networking Sites

2020 ◽  
Vol 12 (2) ◽  
pp. 21-41
Author(s):  
Atia Bano Memon ◽  
Kyrill Meyer
Keyword(s):  
Comparative Analysis ◽  
Social Networking ◽  
Conceptual Model ◽  
Social Networking Sites ◽  
Research Approach ◽  
Next Generation ◽  
Web Based ◽  
Business Information ◽  
Proposed Model

This paper initially undertakes a comparative analysis of business page architecture of different SNSs by employing a desktop-based research approach consisting of surveying existing business pages, creating sample business pages, and reviewing official documentations of included SNSs. The observations indicate that the existing SNSs exhibit vast diversity and impose platform-specific boundaries that result in the fragmentation and dispersion of business information across multiple sites. Accordingly, the next part of the paper explores the potential of SNS APIs as an opportunity for the aggregation and centralization of SNS business information and successively proposes a conceptual model of business page integration. The proposed model is validated and evaluated through a web-based application for the integrated business page search and interaction over multiple SNSs. The discussion taken herein should assist the businesses in choosing an appropriate SNS for their web representation and establishes the grounds and guidelines for next generation of integrated data applications.

scholarly journals A New Method to Decision-Making with Fuzzy Competition Hypergraphs

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 404 ◽  
Author(s):  
Musavarah Sarwar ◽  
Muhammad Akram ◽  
Noura Alshehri
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Decision Support ◽  
Decision Support Systems ◽  
Ecological Niche ◽  
Predator Prey ◽  
New Concepts ◽  
Different Types ◽  
Hypergraph Theory ◽  
Strength Of Competition

Hypergraph theory is the most developed tool for demonstrating various practical problems in different domains of science and technology. Sometimes, information in a network model is uncertain and vague in nature. In this paper, our main focus is to apply the powerful methodology of fuzziness to generalize the notion of competition hypergraphs and fuzzy competition graphs. We introduce various new concepts, including fuzzy column hypergraphs, fuzzy row hypergraphs, fuzzy competition hypergraphs, fuzzy k-competition hypergraphs and fuzzy neighbourhood hypergraphs, strong hyperedges, kth strength of competition and symmetric properties. We design certain algorithms for constructing different types of fuzzy competition hypergraphs. We also present applications of fuzzy competition hypergraphs in decision support systems, including predator–prey relations in ecological niche, social networks and business marketing.

A NEW FUZZY MULTI CRITERIA DECISION MAKING MODEL FOR OPEN PIT MINES EQUIPMENT SELECTION

2011 ◽  
Vol 28 (03) ◽  
pp. 279-300 ◽  
Author(s):  
ABBAS AGHAJANI BAZZAZI ◽  
MORTEZA OSANLOO ◽  
BEHROOZ KARIMI
Keyword(s):  
Decision Making ◽  
Real World ◽  
Mine Planning ◽  
Open Pit ◽  
Open Pit Mining ◽  
Multi Criteria Decision Making ◽  
Good Precision ◽  
Mining Equipment ◽  
Equipment Selection ◽  
Proposed Model

Nowadays, the capital cost of open-pit mining equipment is very high so any mistake in the selection of quantity, type and capacity of equipment may cause irreparable impact on the net present value of mining project. Mine planning engineers generally use their intuition and experience in decision making even though equipment selection is a complex multi criteria decision problem. Considering the tangible along with intangible factors in the mine equipment selection problem, this paper proposes a new method of multi criteria decision making (MCDM) that makes it possible to select the optimal equipment that satisfies the decision maker. In a real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not deterministic but they are usually fuzzy-imprecise. Our proposed model considers objective, critical, and subjective factors as the three main common factors in equipment selection analysis. The last two factors, critical and subjective factors, are defined by decision maker's judgments for more adoption with real world problems. A case study is presented to illustrate the use of the proposed model and to demonstrate the capability of the model. The result of this study shows significant reduction of time consumption of calculation and good precision compared to customary methods such as Chang's fuzzy AHP method.

A method to multi-attribute decision making problems by using heronian mean operators based on linear diophantine uncertain linguistic settings

2022 ◽  
pp. 1-29
Author(s):  
Tahir Mahmood ◽  
Izatmand ◽  
Zeeshan Ali ◽  
Thammarat Panityakul
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Real World ◽  
Decision Process ◽  
Point Of View ◽  
The Real ◽  
Weighted Arithmetic ◽  
Life Problems ◽  
Multi Attribute Decision Making ◽  
Heronian Mean

In the real decision process, an important problem is how to express the attribute value more efficiently and accurately. In the real world, because of the complexity of decision-making problems and the fuzziness of decision-making environments, it is not enough to express attribute values of alternatives by exact values. For this managing with such sorts of issues, the principle of Linear Diophantine uncertain linguistic set is a valuable and capable technique to manage awkward and inconsistent information in everyday life problems. In this manuscript, we propose the original idea of Linear Diophantine uncertain linguistic set and elaborated their essential laws. Additionally, to determine the association among any numbers of attributes, we elaborated the Linear Diophantine uncertain linguistic arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic weighted arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic geometric Heronian mean operator, Linear Diophantine uncertain linguistic weighted geometric Heronian mean operator, and their properties are also discovered. By using these operators, we utilize the multi-attribute decision-making procedure by using elaborated operators. To determine the consistency and validity of the elaborated operators, we illustrate some examples by using explored operators. Finally, the superiority and comparative analysis of the elaborated operators with some existing operators are also determined and justified with the help of a graphical point of view.

scholarly journals Plithogenic SWARA-TOPSIS Decision Making on Food Processing Methods with Different Normalization Techniques

2021 ◽  
Author(s):  
Nivetha Martin
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Food Processing ◽  
Integrated Approach ◽  
Multi Criteria Decision Making ◽  
Processing Methods ◽  
Maximum Extent ◽  
Criterion Weight ◽  
Proposed Model ◽  
Expert’S Opinion

Decision making (DM) is a process of choosing the optimal alternative with the maximum extent of criteria satisfaction. The challenging aspect in making optimal decisions is the suitable choice of multi-criteria decision-making (MCDM) methods that consider the initial input as the expert’s opinion on criteria satisfaction by the alternatives. This initial decision-making matrix representation discriminates MCDM as fuzzy, intuitionistic, neutrosophic to handle the decision-making environment that is characterized by uncertainty, impreciseness, and indeterminacy, respectively. A generalized kind of representation by plithogenic sets optimizes the decision-making risks. This chapter aims in developing SWARA-TOPSIS with plithogenic representations and discusses the efficiency of this integrated approach over the method of TOPSIS with equal criterion weight. A comparative analysis of four different normalization techniques is likewise made. The proposed plithogenic integrated MCDM model is validated with the decision making on four food processing methods. The final ranks of the alternatives are also compared under the proposed plithogenic SWARA-TOPSIS and TOPSIS models with different normalization techniques. The results witness the efficiency of the proposed model over the existing models.

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

Bid rigging in public procurement market according to the decisions of the President of the Office of Competition and Consumer Protection

2018 ◽  
Vol 5 (2) ◽  
pp. 161
Author(s):  
Konrad RÓŻOWICZ
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Consumer Protection ◽  
Design Research ◽  
Public Procurement ◽  
Appeal Chamber ◽  
Interesting Issue ◽  
Market Control ◽  
The Public ◽  
Bid Rigging

Aim: In the practice of awarding public contracts, sometimes the behavior of market actors, instead of competing with other entities, are aimed at illegal cooperation, including bid rigging. The above shows that healthy competition is not possible without efficient market control. In public procurement market this control is, primarily, carried out by public procurement entities: the President of the Public Procurement Office (Prezes UZP) and the National Appeal Chamber (KIO), and furthermore by President od the Office of Competition (Prezes UOKiK) and Consumer Protection and the Court od Competition and Consumer Protection. and Consumer Protection (SOKiK). The interesting issue is how the activities of the President of Office of Competition and Consumer Protection targeted  to contend with bid rigging affects on the activities of President of the Public Procurement Office (Prezes UZP) or the National Appeal Chamber (KIO). Design / Research methods: analysis and comparison decisions/ judgment issued by the President of the Public Procurement Office, National Appeal Chamber, the President of  the Office of Competition and Consumer Protection and the Court of Competition and Consumer Protection. Conclusions: The analysis has shown that the existence of specificities in the activities of the decision-making bodies and the judgments examined. However, in keeping with the specificity of the forms and objectives of control, these entities should cooperate, to a greater extent than before. Expanding the scope of cooperation would make it possible to better contend with bid rigging without changing the competition protection model. The introduction of institutionalized instruments for cooperation between the authorities seems to be valuable in terms of system solutions. Value of the article: The main value of the article is the comparison of selectively selected decisions and judgments representative of the problem under consideration and their comparative analysis in order to achieve the research objectives. The article deals with issues relevant to both public procurement practitioners and the state bodies dealing with procurement matters.

Social Networking Sites Continuance: An Application of Extended Theory of Planned Behaviour

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Himanshu Rajput
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Theory Of Planned Behaviour ◽  
Standard Theory ◽  
Planned Behaviour ◽  
Privacy Concerns ◽  
Proposed Model ◽  
Continued Use ◽  
Moderating Role

Social networking sites (SNSs) have become popular in India with the proliferation of Internet. SNSs have gained the interests of academicians and researchers. The current study is an endeavor to understand the continuance of social networking sites in India. The study applies an extended version of theory of planned behavior. Additional factors privacy concerns and habits were incorporated into the standard theory of planned behaviour. A survey was conducted in a Central University in India. Overall, data was collected from 150 respondents. PLS-SEM was used to test the proposed model. All the hypotheses except the moderating role of habits between intentions and continued use of social networking sites, were supported by the results. Habits were found to affect continued use of social networking sites indirectly through continued intentions.

A Comparative Analysis of Investor and Auditor Materiality Judgments

2018 ◽  
Vol 38 (3) ◽  
pp. 149-166 ◽  
Author(s):  
F. Todd DeZoort ◽  
Travis P. Holt ◽  
Jonathan D. Stanley
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Empirical Evidence ◽  
Professional Standards ◽  
Policy Capturing ◽  
Cue Utilization ◽  
Critical Domain ◽  
Extant Literature

SUMMARY Materiality remains a challenging concept for auditors to implement in practice. The challenges underlying auditor materiality assessments are compounded by the fact that courts, regulation, and professional standards emphasize that materiality should be based on a “reasonable investor” perspective. Despite the investor orientation and ambiguous nature of the “reasonable investor” criterion, the extant literature lacks empirical evidence about investor materiality judgments and decision-making. To address this problem, we model sophisticated and unsophisticated investors' materiality judgments in a policy-capturing study and compare them to experienced auditors charged with assessing materiality from an investor perspective. The results indicate significant differences in materiality judgments, judgment consensus, and cue utilization among the three participant groups. We conclude the paper with discussion of the study's implications, highlighting that the overall results suggest the need for further consideration of ways to help auditors meet standards and expectations in this critical domain.

scholarly journals Movie Recommendation through Multiple Bias Analysis

2021 ◽  
Vol 11 (6) ◽  
pp. 2817
Author(s):  
Tae-Gyu Hwang ◽  
Sung Kwon Kim
Keyword(s):  
Decision Making ◽  
Recommender System ◽  
Real World ◽  
Matrix Factorization ◽  
User Preferences ◽  
Improve Performance ◽  
Bias Analysis ◽  
Useful Knowledge ◽  
Existing Problems ◽  
Movie Recommendation

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.

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