Decision Making Process for the Knowledge-Based Enterprise: Fuzzy Sets Theory Application to Strategic Management

2016 ◽  
pp. 163-174 ◽  
Author(s):  
Joanna Kałkowska ◽  
Aleksandr V. Kozlov
Keyword(s):  
Decision Making ◽  
Strategic Management ◽  
Fuzzy Sets ◽  
Decision Making Process ◽  
Fuzzy Sets Theory ◽  
Knowledge Based ◽  
Theory Application ◽  
Sets Theory

A SAW Mechanism for Investigating the Status of Industrial Robots Under Comprehensive Sustainable Aspects

2019 ◽  
Vol 10 (3) ◽  
pp. 69-84
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Industrial Robots ◽  
Fuzzy Sets Theory ◽  
Linguistic Terms ◽  
Fuzzy Concept ◽  
Course Of Action ◽  
The Status ◽  
Sets Theory ◽  
Robot Selection

The authors attempt to model a decision-making mechanism; which can fix multiple robot characteristics and can aid in investigating robots status for a particular manufacturing arena. The work exposed a series of applicable robot characteristics; which differentiated their working capacity and defines their value. A simple additive weighting (SAW) mechanism under a fuzzy concept is presented for investigating the status of industrial robots; which incorporates comprehensive aspects for sustainable robot selection. The authors have extended the application field of fuzzy sets theory and illustrated the significant application of linguistic terms in the robot decision-making problem. The work compounds fuzzy sets theory with SAW techniques and thus serves a flavor of fuzzy concept and a SAW technique under single platform. The study reveals the course of action for executing the proposed work by the managers. The work has applied fuzzy linguistic terms for griping the appropriate perceptions of the decision makers and applied the conception of SAW methodology to yield the decision results.

Sustainability Appraisement of Industrial Robots by GRA for Real Automation Environment

2019 ◽  
Vol 10 (3) ◽  
pp. 53-68
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Decision Making Process ◽  
Managerial Decision ◽  
Relational Approach ◽  
Knowledge Based ◽  
Sets Theory ◽  
Grey Relational

A knowledge-based tool for executing the managerial decision-making process is presented in this work. The work evaluated the significant robot i.e. industrial machines for sustainably handling the real time manufacturing environment. The presented tool integrates the grey sets theory with grey relational approach (GRA) to support the decision-making process for opting most significant industrial robot. The performance mapping of industrial robots by GRA under grey set theory is presented for defining a sustainable real automation environment. The work offers the essence of both grey set theory and grey relational approach under a sole ring. The work implicates grey sets theory to capture the uncertainties associated with the evaluation of robot measures and implicated GRA to recognize the most valuable robot alternative. The proposed tool is developed by categorizing the list of qualitative and quantitative characteristics; which links the robot evaluation properties. The work attempts to draft a knowledgeable tool for effectively executing manufacturing activities by the robots.

scholarly journals THEORY OF FUZZY SETS IN DECISION-MAKING SYSTEMS OF BUILDING MANAGEMENT/NEAPIBRĖŽTŲJŲ AIBIŲ TEORIJOS TAIKYMAS PASTATŲ VALDYMO SPRENDIMŲ PRIĖMIMO SISTEMOMS

2000 ◽  
Vol 6 (4) ◽  
pp. 237-246 ◽  
Author(s):  
Paulius Gaučas ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Fuzzy Sets ◽  
Decision Maker ◽  
High Reliability ◽  
Minimax Principle ◽  
Fuzzy Sets Theory ◽  
General Matrix ◽  
The Game Theory ◽  
Sets Theory

The task of decision-making in constructing industry becomes more difficult because of rapid technical upgrowth. According to aims, circumstances and opportunity decisions are determined. Disagreement situation arises at this point. Uprising opportunities and influence of circumstances of aims, they are often contradicting each other. Constructing a building, one must look for decision of more favourable conditions for situation and minimum expenditure, but to guarantee a high reliability, so disagreement situation arises. Exacting requirements of quality logically are bound up with expensive realisation [4]. Decision must be optimum and as much as possible satisfy “goodness” indications of decision. However, “goodness” valuation is indefinite conception and disobeys black-and-white logic [Zadeh]. In this case one can understand decision like a conflict in the game theory, where the information is not always defined. To solve the problem the fuzzy sets theory can be used. Using the game theory, elements can be formulated indefinitely and a new model can be made [3]. Trying to estimate the aims of conflicts, the circumstances that influence the decision are divided into two groups. The first group—circumstances of inherent influence—defines what a decision-maker must attain (for example, to maximise quality) and describes strategy of the first player. The second group—circumstances of outward influence—defines what a decision-maker must estimate as a limitation (for example, to minimise price) and describes strategy of the second player. Dependence between inherent and outward circumstances in this step is formed. There is no clear limit in fuzzy sets theory between dependence (circumstance 1) and independence (circumstance 0) of elements on definite set. Dependence degree of element x on A set, is described by μ A (x) function (1), (2). The valuation in fuzzy sets theory takes place at three levels. At the first level meanings of dependence on inherent circumstances are calculated (1), (2), and matrix is determined (Fig 2). According to formula (3), dependence degree on each alternative is calculated. In the second level meanings of dependence on outward circumstances are calculated according to the formula (1), (2) and the matrix is filled in (Fig 3). At the third level the results of first two levels are summed. Using operator of minimum general matrix of decisions-making is determined (Fig 4), According to the general matrix, the indefinite matrix of decision-making is determined (Fig 5). Minimax principle makes the decision. The received result is optimal, because it satisfies the aim causing the conflict. In the paper, the example of a private house is selected, using the described method. This method may be used to make decisions, when the task is of conflicting character. Competently distributing circumstances of influence or parameters of valuation by two aspects (inherent and outward) it can be explained the mean of conflicting character, and interpretation using the described method can be made.

A fuzzy sets theory application in determining the severity of respiratory failure

2001 ◽  
Vol 63 (1-2) ◽  
pp. 101-107 ◽  
Author(s):  
Dusan M. Velasevic ◽  
Dragan Z. Saletic ◽  
Suzana Z. Saletic
Keyword(s):  
Respiratory Failure ◽  
Fuzzy Sets ◽  
Fuzzy Sets Theory ◽  
Theory Application ◽  
Sets Theory

scholarly journals MODELLING DECISION-MAKING PROCESSES IN BIDDING PROCEDURES WITH THE USE OF THE FUZZY SETS THEORY

2014 ◽  
Vol 18 (3) ◽  
pp. 307-316 ◽  
Author(s):  
Edyta Plebankiewicz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Fuzzy Sets ◽  
Essential Element ◽  
The Other ◽  
Fuzzy Sets Theory ◽  
Mathematical Apparatus ◽  
Bidding Price ◽  
Decision Making Processes ◽  
Sets Theory

In the bidding procedure not only the contractor but also the construction owner make a number of vital decisions, the consequences of which are significant. The contractor has to decide whether to take part in a given bid and, having been accepted, he/she has to prepare a bidding offer. Its essential element is the mark-up introduced to the calculation of the bidding price. On the other hand, the investing construction owner has to decide which contractors are the closest to his/her requirements. The article presents mathematical models concerning the decisions made by the contractor and construction owner in the bidding procedure. All the models are based on the same simple mathematical apparatus using fuzzy sets.

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