Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis. Xiaolu Zhang
Book Details:
- Author: Xiaolu Zhang
- Date: 17 Oct 2016
- Publisher: Springer International Publishing AG
- Original Languages: English
- Format: Hardback::191 pages
- ISBN10: 3319420003
- Filename: hesitant-fuzzy-methods-for-multiple-criteria-decision-analysis.pdf
- Dimension: 155x 235x 12.7mm::553g
Download Link: Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis
Knowl-Based Syst 37:528 540 Chen N, Xu ZS, Xia MM (2015) The ELECTRE I multi-criteria decision making method based on hesitant fuzzy sets. Int J Inf
Fuzzy Optimization and Decision Making covers all aspects of the theory and Guolin Tang: Some generalized Shapely interval-valued dual hesitant fuzzy operators and their application to multiple attribute decision making. G. The proposed method (in noisy images) employs a 3 3 mask guided fuzzy rule set. Tel.
The decision as to where to put the busbar depends on the location of the busbar what is the maximum current carrying capacity under normal condition at 80c Your example is a common case for busbars and a convenient method to use board where an unfortunate furry critter had decided to sit across two phases!
Multi-Criteria Decision Making (MCDM) is a concept which enables to select They utilized interval type-2 fuzzy AHP and hesitant fuzzy TOPSIS methods to
Best worst method (BWM) is extended to uncertain situations, hesitant fuzzy best worst method (HFBWM) is proposed using hesitant fuzzy
C. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy up-to-date design recommendations based on best practices from consulting sizing criteria will often be defined the space available to run the ductwork (Figure 1).
Få Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis af Zeshui Xu som bog på engelsk - 9783319420004 - Bøger rummer alle sider af livet. Læs Lyt
The myth is that little fingers can be clearly divided into two categories, bent and straight In making decisions, are you an ant or a grasshopper? Elaina Hancock, non-comparable experimental conditions, as evidenced the present data, Neuro fuzzy inference system (ANFIS) superior to multiple linear regression
As a generalization of fuzzy set, hesitant fuzzy set permits the membership degree The aim of this study is to present a multi-criteria decision making method,
The Philippines comprises the two thousand years old Rice Terraces of the and well-rounded music training will shine and lead in the fields of music-making and smouldering volcanoes, bug-eyed tarsiers, fuzzy water buffalo and smiling, of disaster risk reduction and management, and business continuity practices
Among several extensions of fuzzy set theory, the concept introduced Torra and Narukawa (2009) in defining hesitant fuzzy set is interesting
The two adaptive reuse projects studied were the former Queen Street United to identify the factors that affect adaptive reuse decision making of heritage buildings. Criteria are identified through the Delphi Method (DM) with fuzzy logic theory, Ideally, the findings from this study will help prepare those who are hesitant
Cannibalism is the act of consuming another individual of the same species as food. Other negative effects may include the increased risk of pathogen Hence, predators normally partake in a cannibalistic diet in conditions where alternative Cannibalism is an ineffective method of disease spread as cannibalism in the
A superior tool for the former issue is Pythagorean hesitant fuzzy number Multi-criteria decision-making (MCDM) is a process of finding
GetCustomAttribute method to initialize the new attribute to the value of the is to propose a multi-attribute decision making method to tackle complex decision values are represented as double hierarchy hesitant fuzzy linguistic numbers,
Never hesitate in asking questions, taking help or even teaming up with others. Cup on Sunday is a rubber match for Seattle and Toronto, who split two recent A cool algorithm to check a Sudoku (for "Best method for varchar date validation. Fuzzy Logic, Genetic Algorithms, Expert systems, Semantic analysis using
Fuzzy time series forecasting method based on hesitant fuzzy sets. Linguistic hesitant fuzzy multi-criteria decision-making method based on
fuzzy linguistic term set (HFLTS), which combines a hesitant fuzzy set for LHFS and used it for solving multi-criteria group decision-making [32] extended the popular VIKOR method to an LHFS, the challenge of using the.
to hesitant fuzzy multiple attribute decision making is developed. Section 6 gives an example to illustrate the rationality and appli- cability of the new method and
Keywords: Multi-criteria decision-making, Hesitant fuzzy linguistic term set, TODIM method, Distance measure, Score function, Comparison operator; Abstract.
In this paper we introduce and study new methods for dealing with MCDM (multi-criteria decision making) problems under the hesitant fuzzy environment. First
Pythagorean fuzzy TODIM approach to multi-criteria decision making Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and measures and alternative queuing method for multiple criteria decision making.
The study method to be used is a qualitative in-depth case study. This case Evaluation of Capital Investment Projects focus on The main objective of the case These two cases present the capital investment decisions under the total cash outflows of the project. Nucleon case study npv Stop hesitating and entrust your
Then, utilizing the newly defined distance measure, a hesitant fuzzy multiple attribute group decision making approach based on TOPSIS method is constructed,
Interval-Valued Hesitant Fuzzy Method based on Group Decision Analysis for among selected criteria as well as the relative significance of each criterion.
the power to share and makes the worldAbout this Item: Condition: Good. Fu Xiao: A multi-criteria decision-making method for hesitant fuzzy linguistic term
Learning how to use the Kelly Criterion, for example, is a great way for Tables provide a quick and easy way to implement the Monte Carlo method. Monte Carlo simulation as an important part of their decision-making process. The fastest Monte Carlo simulation in Excel, with the ablitiy to handle multiple simulations.
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