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Qualitative reasoning makes use of qualitative assessments provided by subject matter experts to model factors such as security risk. Confidence in a result is important and useful when comparing competing results. Quantifying the confidence in an evidential reasoning result must be consistent and based on the available information. A novel method is proposed to relate confidence to the available...
A unique fuzzy approach is developed to model uncertainties in the preferences of a decision maker involved in a conflict. Human judgments, including expressing preferences over a set of feasible outcomes or states in a conflict, are usually imprecise. Situations characterized by vagueness, impreciseness, incompleteness and ambiguity, are often reflected in the decision maker's preferences. When modeling...
With the continued spread of economic globalization, increasing strategy risks facing to enterprises cause widespread concern, evaluation of Enterprise Strategy Risk has important practical significance for scientific decision-making, resource optimizing, competitive advantage achieving and potential sustainable development. We use the improved AHP and entropy weight method to set up the business...
For the vague nature of trust and reputation, the traditional reputation modelings used the classic probability or fuzzy sets to describe and measure the degree of trust. The theoretic foundation of these models is subject logic or fuzzy logic. But in some practical applications, the usage of simple probability model led trust's subjectivity and uncertainty to randomness. For the fuzzy logic, the...
One of the biggest challenges in Software Engineering is accurately forecasting how much time and effort it will take either to develop a system. So far no model has proved to be successful at effectively and consistently predicting software development cost due to the lot of uncertainty factor of input size. In this paper we proposed an Interval Type 2 Fuzzy logic for software cost estimation. The...
As part of this paper we are highlighting several - in our opinion- important aspects of type-2 fuzzy logic systems which seem important to its future development and application. It is the aim of the paper to provide more questions and more suggestive points than actual answers. With type-2 fuzzy logic and its application to modelling and handling uncertainty still a very young area of research,...
This paper presents a simple approach to the modeling of solar radiation data with type-1 and type-2 fuzzy models. The approximation error associated with the fuzzy representation is specified by the modeler and is used in the procedure to obtain the fuzzy model. The approach allows fuzzy type-2 modeling using data with uncertainty. The proposed method is used to estimate solar radiation in Al-Kharga...
BOT projects are affected by several risks and uncertainties. One of the most important issues in this type of contract is to determine the length of concession period considering these uncertainties. The previous studies have developed several models to determine the concession period. However, the uncertainties are not taking into account in most of the previous works. Moreover, none of the previous...
This paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. The propositions of the models with a fuzzy set-valued function in the consequence part as well as the models with the fuzzy time series in the consequence part are presented. Also chosen theoretical aspects of the creating knowledge bases and the fuzzy reasoning procedure are presented.
Risk management of engineering project is a complicated uncertainty problem. Based on the theory of set pair analysis (SPA), stochastic simulation of triangular fuzzy numbers, herein, a novel analysis model for the project risk management was discussed. A concept of multi-element connection number of the set pair was introduced to express the hierarchy and fuzziness of membership between the evaluation...
In this study, a multistage scenario-based inexact fuzzy-stochastic chance-constrained programming (MSIFSCCP) is proposed for water resources management under uncertainty. The developed a hybrid inexact optimization approach integrates multistage scenario-based interval-stochastic programming (MSISP), chance-constrained programming (CCP) and fuzzy-stochastic linear programming (FSLP) within a general...
The non-cooperative games are investigated in uncertainty environment. We established an operator to maximize fuzzy variables based on the extension principle, namely, Fmax operator. Then, the Nash equilibrium strategy of fuzzy model was given by introducing the fuzzy max order and the fuzzy max operator. Furthermore, some useful conclusions in crisp game theory were generalized to non-symmetrical...
Optimization method with triangular fuzzy numbers is introduced to describe the expected yield rate and risk loss of securities investment, and a combinational fuzzy optimization model of inclinations with exchange fee to avoid risks is presented in this paper. The experimental results on the data investigated from real-world securities markets show that our new method exploits a new strategy for...
The Information Retrieval involves the development of computer systems for the storage and retrieval of textual information. In this paper we present an information retrieval system based on prioritized fuzzy information and triangular uninorms, for dealing with such a problem. The advantage of this method with respect to related works is the use of the fuzzy prioritized weighting information facilitates...
In this paper, the difference of satisfactions for fuzzy yield and fuzzy risk from investors is viewed as a fuzzy number with parabolic membership function, and a fuzzy decision securities investment combination model bases on parabolic satisfaction degree is constructed with fuzzy set and fuzzy decision theories. The experimental results on real-word data show that our new approach is very efficient...
The international logistics centers choice problem is very important in International logistics. The location choice problem usually involves both numbers and words in which all of the criteria are weighted using words and the performance evaluations for all sub-criteria are either numbers or words. How to aggregate all of these data without losing information is a very daunting task using a type-1...
The paper presents a novel Uncertain Cost-Revenue (UCR) model based on Fuzzy Multiple Attribute Hierarchical Macro-Location model (FMAHML) of Logistics node, which uses “bounded rationality”, “bounded memory” and “group decision making” methods with multi-resolution technology. It is integrated with multiple attribute decision making, fuzzy decision making, Analytic Hierarchy Process (AHP) and Delphi...
This paper extends the conventional Cournot model to fuzzy random environment, where the market demand and supply are with two-fold uncertainty of randomness and fuzziness. We propose a methodology for obtaining the equilibrium quantity in such environment. Different from previous studies, the equilibrium quantity of each firm is a fuzzy number rather than a crisp value. Our method follows two steps...
Type-2 fuzzy sets are shown to be able to handle inter and intra uncertainties of group of experts about a concept, however one of their main difficulties is elicitation of their membership functions. This paper discusses a method for type-2 fuzzy membership function elicitation of labels used in a survey on tourism online satisfaction. The method is based on the implementation of factor analysis...
Generalized lotteries of III type apply to cases, where both the number of alternatives and the number of consequences are countless. Since real decision makers elicit probabilities in an interval form, they disobey axioms of rationality and are called fuzzy rational decision makers. Generalized lotteries of III type, where the probability is partially described by ribbon distribution functions (constructed...
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