scholarly journals APLIKASI SISTEM CONTROL FEEDBACK KUALITAS FITTING FUNCTION DAN APPEARANCE BERBASIS WEB DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA PT XYZ

Petir ◽  
2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Ezra Nugroho ◽  
Muhammad Rifqi
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
System Application ◽  
Feedback System ◽  
Data Input ◽  
Decision Making Problem ◽  
Level Problem ◽  
Simple Additive Weighting ◽  
Control Feedback ◽  
The Web

At this time the development of  technology in helping and making it easier for the company so much feelt, one of them is XYZ Company who use the whatsapp application as an medium information  for conveying problem to the PIC. Like a quality problem Fitting, Function and Apearence, this application can only convey problem information in the form of text and images, data input is still manual and for decision making problem solving priority is still manual based on the user, other than that the data is stored by external, so that confidentiality and security data can not be guaranteed and there are also difficulties when we want to find data that has been informed. So that we need feedback system application that  can give decisions on problem solving priorities, in this application using the web and using the Simple Additive Weighting (SAW) method, in this SAW method to determine problem solving priorities using the sum  of the weight values of the parameter level problem and quantity of problems, so that in the solving problems can be in accordance with the importance of the problem to be resolved immediately.

An Interactive Signed Distance Approach for Multiple Criteria Group Decision-Making Based on Simple Additive Weighting Method with Incomplete Preference Information Defined by Interval Type-2 Fuzzy Sets

2014 ◽  
Vol 13 (05) ◽  
pp. 979-1012 ◽  
Author(s):  
Ting-Yu Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Preference Information ◽  
Incomplete Preference ◽  
Signed Distance ◽  
Decision Making Problem ◽  
Simple Additive Weighting ◽  
Interval Type

Interval type-2 fuzzy sets (T2FSs) with interval membership grades are suitable for dealing with imprecision or uncertainties in many real-world problems. In the Interval type-2 fuzzy context, the aim of this paper is to develop an interactive signed distance-based simple additive weighting (SAW) method for solving multiple criteria group decision-making problems with linguistic ratings and incomplete preference information. This paper first formulates a group decision-making problem with uncertain linguistic variables and their transformation to interval type-2 trapezoidal fuzzy numbers. Concerning the relative importance of multiple decision-makers and group consensus of fuzzy opinions, a procedure using hybrid averages is then employed to construct a collective decision matrix. By an appropriate extension of the classical SAW approach, this paper utilizes the concept of signed distances and establishes an integrated programming model to manage multi-criteria group decisions under the incomplete and inconsistent preference structure. Further, an interactive procedure is established for group decision making. Finally, the feasibility and effectiveness of the proposed methods are illustrated by a collaborative decision-making problem of patient-centered care (PCC).

Effective negotiating

2020 ◽  
pp. 568-574
Author(s):  
Leonard Marcus
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Problem Solving ◽  
Decision Making Problem

The work of public health requires frequent decision making, problem solving, and transactions among people who have different stakes in the outcome. When authority is distributed among those people—such that no one stakeholder can make a unilateral and binding decision upon others— then that outcome is negotiated. Those negotiations involve exchanges in which the parties both contribute and glean expertise, resources, and information through the process. The tenor of the negotiation is often determined by the temperament, strategies, and desired outcomes that each of the stakeholders bring to the process. Are the negotiations collaborative or contentious? How are the parties framing the questions and issues to be resolved? What is each hoping to achieve, and might there be opportunities to reap mutual benefits?

Leadership and the Clinical Coordinator

1994 ◽  
Vol 7 (5) ◽  
pp. 217-220
Author(s):  
Maureen E. Savitsky
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Problem Solving ◽  
Human Nature ◽  
Leadership Skills ◽  
Rapid Change ◽  
Pharmacy Department ◽  
Leadership Models ◽  
Decision Making Problem ◽  
Clinical Coordinator

Clinical coordinators are expected to provide leadership in a pharmacy department. Leadership involves influencing the activities or behaviors of another person. Leaders exhibit several characteristics, including an understanding of themselves, the ability to understand human nature, and the ability to adapt to rapid change. The key leadership skills are situational discretion, communications, motivation, decision-making, problem-solving, and conflict resolution. The situational and principle-centered leadership models provide useful tools for the development of leadership skills.

scholarly journals Florida 4-H Dairy Quiz Bowl

EDIS ◽  
2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Chris DeCubellis
Keyword(s):  
Decision Making ◽  
Critical Thinking ◽  
Problem Solving ◽  
Young People ◽  
Youth Development ◽  
Communication Skills ◽  
Decision Making Problem ◽  
Development Department

This 4-page document discusses the 4-H Dairy Quiz Bowl Program, a fun and educational way for young people ages 8-18 to positively develop critical thinking, decision-making, problem-solving, listening, and communication skills. Written by Chris Decubellis and published by the UF/IFAS 4-H Youth Development Department, January 2019. http://edis.ifas.ufl.edu/4h395

scholarly journals Knowledge Management Practice in Two Australian Architecture-Engineering-Construction (AEC) Companies

2012 ◽  
Vol 4 (2) ◽  
pp. 19-32 ◽  
Author(s):  
Patrick Zou
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Problem Solving ◽  
Information And Communication Technologies ◽  
Business Performance ◽  
Management Practice ◽  
Structured Interviews ◽  
Construction Operations ◽  
Construction Companies ◽  
Decision Making Problem

Knowledge management (KM) could be described as a management system that supports the creation, sharing and retrieving of valued information, expertise and insight within and across communities of people and related organizations using information and communication technologies and hence it is a combination of the effective application of information technlogy and management of human resources. KM is becoming a core competitive factor in construction operations. This paper presents the results of two case studies of KM practices in large AEC (architecture, engineering and construction) companies through desk-top study and semi-structured interviews. The results indicate that implementing KM in AEC companies leads to competitive advantages and improved decision-making, problem solving and business performance. The results also indicateed that while technology plays an important role, top management commitment, total employee involvement, performance assessment and the culture of knowledge-learning and sharing must be considered when implementing KM. Therefore it is suggested that the implementation of KM should incorporate the company's vision, work processes, technology and culture, to improve the ability of knowledge creating, capturing, sharing, retrieving and ultimately, to improve the company's competitive advantage, decision making, problem solving and innovation.

scholarly journals Visualising Business Data: A Survey

Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 285 ◽  
Author(s):  
Richard Roberts ◽  
Robert Laramee
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Creative Thinking ◽  
Visual Analysis ◽  
Business Environment ◽  
Heterogeneous Data ◽  
Address Data ◽  
Decision Making Problem ◽  
Trend Identification

A rapidly increasing number of businesses rely on visualisation solutions for their data management challenges. This demand stems from an industry-wide shift towards data-driven approaches to decision making and problem-solving. However, there is an overwhelming mass of heterogeneous data collected as a result. The analysis of these data become a critical and challenging part of the business process. Employing visual analysis increases data comprehension thus enabling a wider range of users to interpret the underlying behaviour, as opposed to skilled but expensive data analysts. Widening the reach to an audience with a broader range of backgrounds creates new opportunities for decision making, problem-solving, trend identification, and creative thinking. In this survey, we identify trends in business visualisation and visual analytic literature where visualisation is used to address data challenges and identify areas in which industries use visual design to develop their understanding of the business environment. Our novel classification of literature includes the topics of businesses intelligence, business ecosystem, customer-centric. This survey provides a valuable overview and insight into the business visualisation literature with a novel classification that highlights both mature and less developed research directions.

The Study on Fire Spreading Based on Mobile Agent and Grid Technology

2014 ◽  
Vol 971-973 ◽  
pp. 1834-1837
Author(s):  
Yuan Jiang Huang ◽  
Jie Huang
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Mobile Agent ◽  
Grid Technology ◽  
Grid Environment ◽  
Decision Making Problem ◽  
Grid Nodes ◽  
Fire Spreading ◽  
Reasoning Mechanism ◽  
Resource Decision

In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of Fire spreading. a new model was given based on mobile Agent Open Decision Support System in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, described in detail layer program CBR-based reasoning mechanism of the Agent and its operation flow and interactive mechanism, put the complexity of distribution of decision-making problem solving to the grid nodes on the environment, implementation of parallel asynchronous decision-making problem solving. Optimize distribution through the logistics of the problem MABODSS design, it proved to improve the system's intelligence and operational efficiency.

scholarly journals Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making

2021 ◽  
Vol 2021 ◽  
pp. 1-31
Author(s):  
Harish Garg ◽  
Zeeshan Ali ◽  
Jeonghwan Gwak ◽  
Tahir Mahmood ◽  
Sultan Aljahdali
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Group Decision Making ◽  
Fuzzy Set ◽  
Group Decision ◽  
Intuitionistic Fuzzy Set ◽  
Intuitionistic Fuzzy ◽  
Weighted Arithmetic ◽  
Decision Making Problem ◽  
Heronian Mean

In this paper, a new decision-making algorithm has been presented in the context of a complex intuitionistic uncertain linguistic set (CIULS) environment. CIULS integrates the concept the complex of a intuitionistic fuzzy set (CIFS) and uncertain linguistic set (ULS) to deal with uncertain and imprecise information in a more proactive manner. To investigate the interrelation between the pairs of CIULSs, we combine the concept of the Heronian mean (HM) and the complex intuitionistic uncertain linguistic (CIUL) to describe some new operators, namely, CIUL arithmetic HM (CIULAHM), CIUL weighted arithmetic HM (CIULWAHM), CIUL geometric HM (CIULGHM), and CIUL weighted geometric HM (CIULWGHM). The main advantage of these suggested operators is that they considered the interaction between pairs of objects during the formulation process. Also, a number of distinct brief cases and properties of the operators are analyzed. In addition, based on these operators, we have stated a MAGDM (“multiattribute group decision-making”) problem-solving algorithm. The consistency of the algorithm is illustrated by a computational example that compares the effects of the algorithm with a number of well-known existing methods.

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