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

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.

2021 ◽  
pp. 1-21
Author(s):  
Sundas Shahzadi ◽  
Areen Rasool ◽  
Musavarah Sarwar ◽  
Muhammad Akram

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.


2021 ◽  
pp. 254-267
Author(s):  
John Royce

Good readers evaluate as they go along, open to triggers and alarms which warn that something is not quite right, or that something has not been understood. Evaluation is a vital component of information literacy, a keystone for reading with understanding. It is also a complex, complicated process. Failure to evaluate well may prove expensive. The nature and amount of information on the Internet make evaluation skills ever more necessary. Looking at research studies in reading and in evaluation, real-life problems are suggested for teaching, modelling and discussion, to bring greater awareness to good, and to less good, readers.


2018 ◽  
Vol 8 (9) ◽  
pp. 1275-1306 ◽  
Author(s):  
Rosemary Hunter

The various feminist judgment projects (FJPs) have explored through the imagined rewriting of judgments a range of ways in which a feminist perspective may be applied to the practice of judging. But how do these imagined judgments compare to what actual feminist judges do? This article presents the results of the author’s empirical research to date on ‘real world’ feminist judging. Drawing on case study and interview data it explores the how, when and where of feminist judging, that is, the feminist resources, tools and techniques judges have drawn upon, the stages in the hearing and decision-making process at which these resources, tools and techniques have been deployed, and the areas of law in which they have been applied. The article goes on to consider observed and potential limits on feminist judicial practice, before drawing conclusions about the comparison between ‘real world’ feminist judging and the practices of FJPs. Los proyectos de sentencias feministas, a través de la reelaboración imaginaria de sentencias judiciales, han explorado multitud de vías en las que las perspectivas feministas se podrían aplicar a la práctica judicial. Pero ¿qué resulta de la comparación entre dichas sentencias y la práctica real de las juezas feministas? Este artículo presenta los resultados de la investigación empírica de la autora. Se analiza el cómo, el cuándo y el dónde de la labor judicial feminista, es decir, los recursos, herramientas y técnicas feministas que las juezas han utilizado, las fases de audiencia y toma de decisión en las que se han utilizado y las áreas del derecho en que se han aplicado. Además, se toman en consideración los límites observados y potenciales de la práctica judicial feminista, y se extraen conclusiones sobre la comparación entre la labor judicial feminista en el “mundo real” y la práctica de los proyectos de tribunales feministas.


2020 ◽  
pp. 76-86
Author(s):  
admin admin ◽  
◽  
◽  
◽  
Wenhui Bai ◽  
...  

In most realistic situations, the theory and method of multi-attribute decision-making have been widely used in different fields, such as engineering, economy, management, military, and others. Although many studies in some extended fuzzy contexts have been explored with multi-attribute decision-making, it is widely recognized that single-valued neutrosophic sets can describe incomplete, indeterminate and inconsistent information more easier. In this paper, aiming at addressing multi-attribute decision-making problems with single-valued neutrosophic information, related models and multi-attribute decision-making approaches based on the fuzzy graph theory are studied. In specific, the notion of single-valued neutrosophic sets and graphs is firstly introduced together with several common operational laws. Then a multi-attribute decision making method based on single-valued neutrosophic graphs is established. Finally, an illustrative example and a comparative analysis are conducted to verify the feasibility and efficiency of the proposed method.


spontaneously invented a name for the creature derived from the most prominent features of its anatomy: kamdopardalis [the normal Greek word for ‘giraffe*]. (10.27.1-4) It is worth spending a little time analysing what is going on in this passage. The first point to note is that an essential piece of information, the creature’s name, is not divulged until the last possible moment, after the description is completed. The information contained in the description itself is not imparted directly by the narrator to the reader. Instead it is chan­ nelled through the perceptions of the onlooking crowd. They have never seen a giraffe before, and the withholding of its name from the reader re-enacts their inability to put a word to what they see. From their point of view the creature is novel and alien: this is conveyed partly by the naive wonderment of the description, and partly by their attempts to control the new phenomenon by fitting it into familiar categories. Hence the comparisons with leopards, camels, lions, swans, ostriches, eyeliner and ships. Eventually they assert conceptual mastery over visual experience by coining a new word to name the animal, derived from the naively observed fea­ tures of its anatomy. However, their neologism is given in Greek (kamdopardalis), although elsewhere Heliodoros is scrupulously naturalistic in observing that Ethiopians speak Ethiopian. The reader is thus made to watch the giraffe from, as it were, inside the skull of a member of the Ethiopian crowd. The narration does not objectively describe what they saw but subjectively re­ enacts their ignorance, their perceptions and processes of thought. This mode of presentation, involving the suppression of an omniscient narrator in direct communication with the reader, has the effect that the reader is made to engage with the material with the same immediacy as the fictional audience within the frame of the story: it becomes, in imagination, as real for him as it is for them. But there is a double game going on, since the reader, as a real person in the real world, differs from the fictional audience inside the novel precisely in that he does know what a giraffe is. This assumption is implicit in the way the description is structured. If Heliodoros* primary aim had been to describe a giraffe for the benefit of an ignorant reader, he would surely have begun with the animal’s name, not withheld it. So for the reader the encounter


Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 278 ◽  
Author(s):  
Lilian Shi ◽  
Yue Yuan

Neutrosophic cubic sets (NCSs) can express complex multi-attribute decision-making (MADM) problems with its interval and single-valued neutrosophic numbers simultaneously. The weighted arithmetic average (WAA) and geometric average (WGA) operators are common aggregation operators for handling MADM problems. However, the neutrosophic cubic weighted arithmetic average (NCWAA) and neutrosophic cubic geometric weighted average (NCWGA) operators may result in some unreasonable aggregated values in some cases. In order to overcome the drawbacks of the NCWAA and NCWGA, this paper developed a new neutrosophic cubic hybrid weighted arithmetic and geometric aggregation (NCHWAGA) operator and investigates its suitability and effectiveness. Then, we established a MADM method based on the NCHWAGA operator. Finally, a MADM problem with neutrosophic cubic information was provided to illustrate the application and effectiveness of the proposed method.


1999 ◽  
Vol 13 (4) ◽  
pp. 267-276 ◽  
Author(s):  
David Laughton ◽  
Roger Ottewill

As part of their attempt to embed their teaching more firmly in the ‘real world’ of business, some university tutors have incorporated ‘commissioned’ or ‘live’ projects into their learning and teaching strategies. These projects enable students to make a direct contribution to their business clients while simultaneously fulfilling key educational objectives. Drawing on their experience of the use of commissioned projects on an MSc in International Business (MSclB) course, the authors analyse in detail both the potential benefits and the problems that arise in implementing such schemes. In this paper, they outline some of the key features of the MSclB course, focusing on the commissioned project component; indicate the reasons for using commissioned projects from the point of view of both tutors and students; describe and evaluate the methodology used to generate data for informing the identification and discussion of issues; and explore a number of key factors for tutors and students in the use of commissioned projects. The paper thus raises awareness of the nature of commissioned projects as a pedagogic tool and of what needs to be done if their contribution to the enhancement of students' understanding of the business world is to be maximized.


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