scholarly journals Multiple criteria decision-making process to derive consensus desired genetic gains for a dairy cattle breeding objective for diverse production systems

2017 ◽  
Vol 100 (6) ◽  
pp. 4671-4682 ◽  
Author(s):  
C.M. Kariuki ◽  
J.A.M. van Arendonk ◽  
A.K. Kahi ◽  
H. Komen
Keyword(s):  
Decision Making ◽  
Dairy Cattle ◽  
Production Systems ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Cattle Breeding ◽  
Genetic Gains ◽  
Breeding Objective ◽  
Dairy Cattle Breeding

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

DIRECTIONS OF DEVELOPMENT OF DAIRY CATTLE BREEDING IN THE YAROSLAVL REGION

2021 ◽  
pp. 8-15
Author(s):  
А.В. КОНОВАЛОВ ◽  
А.А. АЛЕКСЕЕВ ◽  
М.В. АБРАМОВА
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Production Systems ◽  
Steady Increase ◽  
Positive Trend ◽  
Cattle Breeding ◽  
Agricultural Enterprises ◽  
Dairy Cattle Breeding ◽  
Breeding Farms

Рассмотрена динамика производства молока в сельскохозяйственных организациях Ярославской области с 2015 по 2019 год. Проведено разделение на группы предприятий по надою молока от 1 коровы. Рассмотрены проблемы малых и средних ферм. Выявлен устойчивый рост валового надоя молока. В 2019 году он составил 292 тыс. т (+16,8% к уровню 2015 г.), что обусловлено увеличением среднегодового надоя на 1 корову до 6967 кг. Наибольший рост продуктивности отмечен в группе хозяйств с надоем от 6001 до 8000 кг (29,4%), что определено комплексным подходом к совершенствованию ведения молочного скотоводства и укреплением кормовой базы. Выявлена положительная тенденция увеличения доли вегетативных траншейных кормов I и II класса, которая в 2019 году составила 66% и возросла на 20 п.п. по сравнению с 2015 годом. Анализ породного состава молочного скота в регионе показал увеличение доли высокопродуктивных пород в племенных хозяйствах с 16,5% в 2015 году до 26,0% в 2019 году. Интенсивное использование животных приводит к ранней выбраковке коров в возрасте 3,07 отела и снижению среднего возраста стад до 2,43 отела. Дальнейший рост производства молока в регионе возможен при решении комплекса задач по оптимизации породного состава молочного скота, совершенствованию производственных систем в малых и средних сельскохозяйственных предприятиях, повышению уровня кормления и улучшению условий содержания скота. The dynamics of milk production in agricultural organizations of the Yaroslavl region in the period from 2015 to 2019 is considered, the grouping of enterprises by milk yield is carried out, the problems of small and medium-sized farms are emphasized, a steady increase of milk production was revealed, which in 2019 amounted to 292 thousand tons (+16.8% compared to 2015), which is due to an increase in the average annual milk yield per cow to 6967 kg. The greatest increase in productivity was observed in the group of farms with milk yield from 6001 to 8000 kg (+29.37%). This is determined by a comprehensive approach to improving the management of dairy cattle and strengthening the feed base. During the study period, a positive trend was revealed to increase the share of vegetative feeds of class I and II quality, which in 2019 amounted to 66% and increased by 20 p.p. compared to 2015. Analysis of the breed composition of dairy cattle in the region showed an increase in the share of highly productive breeds in breeding farms from 16.5% in 2015 to 26.0% in 2019. At the same time, intensive use of animals leads to an earlier cull of cows at the age of 3.07 calving and a decrease in the average age of herds by 6.5%, which is 2.43 calving. Further growth of milk production in the region is possible when solving a set of tasks to optimize the breed composition of dairy cattle, improve production systems, in small and medium-sized agricultural enterprises, increase the level of feeding and improve the conditions of keeping livestock.

scholarly journals THE METHODS OF SENSITIVITY ANALYSIS AND THEIR USAGE FOR ANALYSIS OF MULTICRITERIA DECISION / JAUTRUMO ANALIZĖS METODAI IR JŲ NAUDOJIMAS DAUGIAKRITERINIAMS SPRENDIMAMS ANALIZUOTI

2011 ◽  
Vol 3 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Leonas Ustinovičius
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Initial Data ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Multicriteria Decision ◽  
Analysis Methods

In this paper we describe the application's fields of the sensitivity analysis methods. We pass in review the application of these methods in multiple criteria decision making, when the initial data are numbers. We formulate the problem, which of the sensitivity analysis methods is more effective for the usage in the decision making process.

Purchasing a Used Car Using Multiple Criteria Decision Making

2007 ◽  
Vol 101 (2) ◽  
pp. 126-135
Author(s):  
Thomas G. Edwards ◽  
Kenneth R. Chelst
Keyword(s):  
Decision Making ◽  
Mathematics Curriculum ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Optimum Choice ◽  
Used Car

A Multiple Criteria Decision Making process (MCDM) in which students assign a numerical value to each alternative in a situation, and compute the highest value in order to quantify the optimum choice. MCDM can be used in making decisions such as choosing the best car or right college. This lesson can be used across the mathematics curriculum.

scholarly journals Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making

Mathematics ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 50 ◽  
Author(s):  
Derya Bakbak ◽  
Vakkas Uluçay ◽  
Memet Şahin
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operator ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Algebraic Properties

In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concept of NSEMs is introduced. Several operations have been defined for them and their important algebraic properties are studied. Finally, we define a NSEMs aggregation operator to construct an algorithm for a NSEM decision-making method that allows for a more efficient decision-making process.

An ethical evaluation of animal biotechnology: the case of using clones in dairy cattle breeding

1995 ◽  
Vol 61 (3) ◽  
pp. 453-463 ◽  
Author(s):  
I. J. M. de Boer ◽  
F. W. A. Brom ◽  
J. M. G. Vorstenbosch
Keyword(s):  
Decision Making ◽  
Dairy Cattle ◽  
Ethical Decision Making ◽  
Ethical Issues ◽  
Animal Husbandry ◽  
Cattle Breeding ◽  
Ethical Evaluation ◽  
Animal Biotechnology ◽  
Moral Principles ◽  
Dairy Cattle Breeding

AbstractThis paper presents an approach for ethical evaluation of biotechnology, which is illustrated by cloning in dairy cattle breeding. The approach for ethical decision-making that was followed, the so-called network model, started with determining fundamental moral principles that together constitute a framework for the detection of ethical issues in a given situation. In terms of human ethics, four fundamental principles have been defined: beneficence, non-maleficence, justice and autonomy. In the context of animal biotechnology, the same four fundamental moral principles as in humans are considered, except that autonomy is replaced by respect for the integrity of the animal. Based on a Dutch advisory committee concerning animal biotechnology, two additional principles were considered: irreversibility and veriflability. For each individual case, moral decision-making means balancing of moral intuitions, moral principles and morally relevant facts. The final outcome on moral acceptability of an action, therefore, will differ among people. The latter is demonstrated using three types of people (the ruler, the steward and the partner/participant). For each type of person, the fundamental attitude toward animals and nature is defined and a possible decision on the application of cloning in dairy cattle breeding is given. The authors' opinion, however, is that the benefits of cloning are relatively small, especially in the long term, whereas the moral drawbacks of cloning are considerable. The authors conclude that other ways of furthering animal husbandry should have priority.

A Dynamic and Context-Aware Social Network Approach for Multiple Criteria Decision Making Through a Graph-Based Knowledge Learning

2018 ◽  
pp. 53-74
Author(s):  
Alessandro Di Stefano ◽  
Marialisa Scatà ◽  
Aurelio La Corte ◽  
Evelina Giacchi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Context Awareness ◽  
Network Dynamics ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Personal Knowledge ◽  
Decision Making Process

Complexity and dynamics characterize a social network and its processes. Social network analysis and graph theory could be used to describe and explore the connectedness among the different entities. Network dynamics further increases the complexity, as each entity with its personal knowledge, cognitive and reasoning capabilities, thinks, decides and acts in a social network, characterized by the heterogeneity of nodes and ties among them. Social network analysis becomes critical to the decision-making process, where a network node will consider both its personal knowledge and the influences received from its neighbors. Network dynamics and the node's context-awareness affect the relationships among criteria, modifying their ranking in a multiple criteria decision-making process, and hence the decision itself. Thus, the main aim has been to model the decision-making process within a social network, considering both context-awareness and network dynamics. Moreover, we have introduced a process of knowledge-transfer, where the criteria are represented by the knowledge-related values.

Sign in / Sign up

Export Citation Format

Share Document