Lesson 1
... This apple is an agaric. ---------------------------------------------------------------------Hence This apple has a strong toxic effect. The argument is valid. But the conclusion is evidently not true (false). Hence, at least one premise is false (obviously the second). Circumstances according to ...
... This apple is an agaric. ---------------------------------------------------------------------Hence This apple has a strong toxic effect. The argument is valid. But the conclusion is evidently not true (false). Hence, at least one premise is false (obviously the second). Circumstances according to ...
Solving Complex Logistics Problems with Multi
... also applied in traffic forecasting. An object-oriented neural network model for predicting short-term traffic conditions is developed by Dia (2001). ANNs used for prediction consist of an input layer comprising speed and flow data from the upstream and downstream stations. 2.5. Integrated intellige ...
... also applied in traffic forecasting. An object-oriented neural network model for predicting short-term traffic conditions is developed by Dia (2001). ANNs used for prediction consist of an input layer comprising speed and flow data from the upstream and downstream stations. 2.5. Integrated intellige ...
Department of Mathematics, Jansons Institute of Technology
... discrete form of intuitionistic fuzzy set, where all the sets are entirely crisp sets. Still, it has membership and non-membership degrees, so this concept gives us more flexible approaches to representing vagueness in mathematical objects including those in engineering fields with classical set log ...
... discrete form of intuitionistic fuzzy set, where all the sets are entirely crisp sets. Still, it has membership and non-membership degrees, so this concept gives us more flexible approaches to representing vagueness in mathematical objects including those in engineering fields with classical set log ...
recent trends in disease diagnosis using soft computing techniques
... Artificial Intelligence (AI) is concerned with the design of intelligent computer system and now it is not new in research field-Artificial Neural Network is one of the effective computational modelling tool in AI techniques. In modern era ANN concentrated upon many complex problems like pattern rec ...
... Artificial Intelligence (AI) is concerned with the design of intelligent computer system and now it is not new in research field-Artificial Neural Network is one of the effective computational modelling tool in AI techniques. In modern era ANN concentrated upon many complex problems like pattern rec ...
Design of A Fuzzy Expert System And A Multi
... condition can be defined by phrases “And”or“Or”.For example, the "And" will be used when two conditions were investigated and the desired results are that both these conditions are true. But if only one condition is true, the phrase "Or" is used. Neural networks Neural networks are composed of a ser ...
... condition can be defined by phrases “And”or“Or”.For example, the "And" will be used when two conditions were investigated and the desired results are that both these conditions are true. But if only one condition is true, the phrase "Or" is used. Neural networks Neural networks are composed of a ser ...
GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION
... methodological and computational perspectives. The philosophical perspective concerns structured thinking. Granular computing combines analytical thinking for decomposing a whole into parts and synthetic thinking for integrating parts into a whole. It is important to consider the conscious effects i ...
... methodological and computational perspectives. The philosophical perspective concerns structured thinking. Granular computing combines analytical thinking for decomposing a whole into parts and synthetic thinking for integrating parts into a whole. It is important to consider the conscious effects i ...
A Cut-Free Calculus for Second
... Keywords: Proof theory, Cut-admissibility, Second-order logic, Non-classical logics, Fuzzy logics, Gödel logic, Non-deterministic semantics ...
... Keywords: Proof theory, Cut-admissibility, Second-order logic, Non-classical logics, Fuzzy logics, Gödel logic, Non-deterministic semantics ...
On the use of fuzzy stable models for inconsistent classical logic
... imposing conditions on the underlying residuated lattice: Theorem 3. Let L ≡ ([0, 1], ≤, ∗, ←, ¬) be a residuated lattice with negation. If ∗ and ¬ are continuous operators, then every finite normal program P defined over L has at least a stable model. Proof: The idea is to apply Brouwer’s fix-point ...
... imposing conditions on the underlying residuated lattice: Theorem 3. Let L ≡ ([0, 1], ≤, ∗, ←, ¬) be a residuated lattice with negation. If ∗ and ¬ are continuous operators, then every finite normal program P defined over L has at least a stable model. Proof: The idea is to apply Brouwer’s fix-point ...
CS437
... n One of the most ambitious projects of the era of great expectations was the General Problem Solver (GPS). Allen Newell and Herbert Simon from the Carnegie Mellon University developed a general-purpose program to simulate humansolving methods. n Newell and Simon suggested that a problem to be solv ...
... n One of the most ambitious projects of the era of great expectations was the General Problem Solver (GPS). Allen Newell and Herbert Simon from the Carnegie Mellon University developed a general-purpose program to simulate humansolving methods. n Newell and Simon suggested that a problem to be solv ...
Optimal Placement and Sizing of Capacitor Banks Using Fuzzy
... optimization problems. It has been introduced to solve the travelling salesman problem. The basic idea is to imitate the behavior of real ants foraging for food. In fact, the real ants can found the shortest path from a food source to their nest without visual cue. Indeed, they communicate, in a loc ...
... optimization problems. It has been introduced to solve the travelling salesman problem. The basic idea is to imitate the behavior of real ants foraging for food. In fact, the real ants can found the shortest path from a food source to their nest without visual cue. Indeed, they communicate, in a loc ...
For Review Only - Portsmouth Research Portal
... Assembly is often of interest as it is one of the last processes within a manufacturing operation. It has traditionally been labour-intensive [1] and can be improved using artificial intelligence (AI). AI emerged as a computer science discipline in the mid 1950s [2,3] and it has produced a number of ...
... Assembly is often of interest as it is one of the last processes within a manufacturing operation. It has traditionally been labour-intensive [1] and can be improved using artificial intelligence (AI). AI emerged as a computer science discipline in the mid 1950s [2,3] and it has produced a number of ...
Building a Cultural Intelligence Decision Support System - R
... diversity; the second pertains to treating cultural soft data for decision making [6]. Our claim is that when CQ is applied to individuals, companies and organizations in the fields of business, it should be computerized. This research attempts to offer effective solutions to the aforementioned prob ...
... diversity; the second pertains to treating cultural soft data for decision making [6]. Our claim is that when CQ is applied to individuals, companies and organizations in the fields of business, it should be computerized. This research attempts to offer effective solutions to the aforementioned prob ...
Interpreting Lattice-Valued Set Theory in Fuzzy Set Theory
... This paper presents a comparison of two axiomatic set theories over two non-classical logics. In particular, it suggests an interpretation of lattice-valued set theory as defined in [16] by S. Titani in fuzzy set theory as defined in [11] by authors of this paper. There are many different conception ...
... This paper presents a comparison of two axiomatic set theories over two non-classical logics. In particular, it suggests an interpretation of lattice-valued set theory as defined in [16] by S. Titani in fuzzy set theory as defined in [11] by authors of this paper. There are many different conception ...
Intrusion Detection using Fuzzy Clustering and Artificial Neural
... artificiaANN neural network have obtained an average accuracy of 96.71% which can be considered as very successful. The fuzzy logic provides some flexibility to the uncertain nature of detecting intrusions [16]. The hybrid approach in this paper implements fuzzy clustering and ANN. Fuzzy clustering ...
... artificiaANN neural network have obtained an average accuracy of 96.71% which can be considered as very successful. The fuzzy logic provides some flexibility to the uncertain nature of detecting intrusions [16]. The hybrid approach in this paper implements fuzzy clustering and ANN. Fuzzy clustering ...